Overview
The Gnomon Internships Offer is an opportunity for students in medical, engineering, and biomedical-bioinformatics fields to gain practical experience in digital health and artificial intelligence. The internships, supported under the SUSA project, provide a financial grant of €1,500 per month for a duration of four months, amounting to a maximum of €6,000 per intern.
Eligible applicants include students currently enrolled in degree programs (BSc/MSc) related to the specified fields. The internships are intended for individual applicants; hence, no consortium is involved. There are no explicit geographic restrictions mentioned in the opportunity, indicating that applications may be accepted internationally, although the call is connected to a European project and hosted by Gnomon Informatics SA based in Greece.
The internships focus on several sectors, including digital health, healthcare innovation, and AI in healthcare. Interns will work on projects related to the development of AI applications, data interoperability, and healthcare informatics, providing an environment for skill development in a real-world setting. The selected interns will gain hands-on experience in using technologies such as Java, Python, and cloud platforms, while working collaboratively in interdisciplinary teams under mentorship.
The application process involves submitting a CV and a motivation letter through email as part of a single-step application stage. The selection is based on academic relevance, technical skills, and motivation. While success rates are not specified, candidates should be aware that there are multiple deadlines for applications, with seven cut-off dates planned from September 2025 to September 2028.
Financial support does not require co-funding; all funding is provided by Gnomon, which totals €120,000 for the program. Interns will also receive training and other non-monetary services, enhancing their professional and technical skills.
Overall, this internship program is designed to bridge academic knowledge with practical experience in the rapidly evolving fields of digital health and AI, with a focus on building a skilled workforce for future healthcare innovations.
Eligible applicants include students currently enrolled in degree programs (BSc/MSc) related to the specified fields. The internships are intended for individual applicants; hence, no consortium is involved. There are no explicit geographic restrictions mentioned in the opportunity, indicating that applications may be accepted internationally, although the call is connected to a European project and hosted by Gnomon Informatics SA based in Greece.
The internships focus on several sectors, including digital health, healthcare innovation, and AI in healthcare. Interns will work on projects related to the development of AI applications, data interoperability, and healthcare informatics, providing an environment for skill development in a real-world setting. The selected interns will gain hands-on experience in using technologies such as Java, Python, and cloud platforms, while working collaboratively in interdisciplinary teams under mentorship.
The application process involves submitting a CV and a motivation letter through email as part of a single-step application stage. The selection is based on academic relevance, technical skills, and motivation. While success rates are not specified, candidates should be aware that there are multiple deadlines for applications, with seven cut-off dates planned from September 2025 to September 2028.
Financial support does not require co-funding; all funding is provided by Gnomon, which totals €120,000 for the program. Interns will also receive training and other non-monetary services, enhancing their professional and technical skills.
Overall, this internship program is designed to bridge academic knowledge with practical experience in the rapidly evolving fields of digital health and AI, with a focus on building a skilled workforce for future healthcare innovations.
Detail
Gnomon Informatics SA is offering Digital Health & AI Internships. The internships can be conducted remotely (virtually) or on-site at Gnomon Informatics SA Offices. The duration of the internship is 4 months, equating to 640 hours. Eligible candidates are Medical, Engineering, and Biomedical-Bioinformatics students (BSc/MSc).
Gnomon Informatics SA specializes in digital health solutions and the internships provide hands-on experience with eHealthPass, a certified patient-centered platform for remote patient monitoring, including a mobile app for patients and a web application for healthcare professionals. eHealthPass is a solution for remote care, virtual care and hospital at home, as well as a communication and patient empowerment tool. Behind eHealthPass there is also the eHealthPass.CDR, a platform providing and enabling HIE (Health Information Exchange) complete lifecycle management of structured and unstructured clinical documents and clinical data, and their secure sharing/exchange. Interns will contribute to AI development, data quality enhancement, and predictive analytics in healthcare.
There are three internship tracks:
1. Medical Students AI and Digital Health Applications: Tasks include assisting in training AI models by feeding them with structured and unstructured medical data, understanding and improving AI-assisted decision support tools for clinical applications, and exploring ways to generate customized outcomes and predictions for individual patients. Focus areas include medical file structures and content (questionnaires, educational and other materials) and usability of the product.
2. Engineering & Data Science Students Data & AI Optimization: Tasks include contributing to data quality assessment and enhancing data mesh architecture, developing and testing AI tools for predictive analytics and patient monitoring, and exploring interoperability challenges in digital health using HL7 FHIR and other HL7 standards (HL7v2 messages, HL7 CDA). Also includes assisting in data visualization techniques to support decision-making for healthcare providers (UX/UI for HealthTech).
3. Bioinformatics/ Biomedical Students Clinical Data: Focus areas include clinical data model and governance, terminology management, GDPR & EHDS issues, and eHealthPass use cases validation & scenarios.
The delivery mode and work environment include virtual internships (a cost-effective alternative allowing students to work remotely while accessing Gnomon’s digital infrastructure), on-site internships (available at the company headquarters for students who prefer in-person collaboration), and a hybrid approach (combining remote and on-site work for flexibility). Interns will work in small interdisciplinary teams under the guidance of mentors and domain experts, engaging in collaborative research and development.
Interns will work on: Healthcare Interoperability (learning and applying standards like FHIR, HL7, and IHE XDS), Artificial Intelligence (participating in AI-powered solutions for clinical decision support, health record processing, and document classification), Software Development (collaborating in real projects, using Java, Spring Boot, Python, APIs, and cloud platforms (Azure, AWS)), Medical Data Processing (working with EHR systems, patient summaries, and secure document exchanges), and R&D Projects (contributing to European Research Projects and pilot implementations in real healthcare settings).
Technologies used include: Java/ Spring Boot/ Python, FHIR/ HL7/ IHE, Azure/ AWS/ Docker/ Kubernetes, and AI Models/ Prompt Engineering/ LLMs.
Gnomon expects candidates to have curiosity and willingness to learn, basic programming knowledge (preferably Java or Python), an interest in healthcare or AI, and teamwork skills.
Upon completion, interns will gain practical experience in digital health platforms and AI integration, understand data governance, privacy regulations (GDPR), and interoperability, develop hands-on skills in data science, machine learning, and healthcare informatics, and enhance problem-solving and critical thinking abilities in a real-world healthcare environment.
Assessment and certification will be based on the completion of assigned tasks and active participation in projects, the development of a mini research report or technical presentation at the end of the internship, and the issuance of an Internship Certificate by Gnomon Informatics SA, potentially co-branded with academic institutions.
Interested students should submit a short CV highlighting relevant skills and background and a brief motivation letter (max. 1 page) explaining their interest in the internship and preferred track (Medical or Engineering). Applications should be sent to a.karabatea@gnomon.com.gr with the subject “Digital Health Internship Application – [Your Name]”.
Financial support will be available to facilitate student mobility. SUSA students will have access to internship opportunities offered by both consortium members and affiliated ecosystem partners. Student exchanges between Higher Education Institutions (HEIs) will be further supported through a structured and mentored Erasmus+ mobility initiative.
The maximum amount of financial support is set at €1,500 per month of internship, calculated based on an estimated structure of 20 internships with a 4-month duration each. The total funding available is 120,000.00 €. In cases where internships are implemented with a shorter duration than four months, the remaining budget may be reallocated to fund additional internship placements, until the total allocated amount has been fully utilized. Internships must be aligned with the thematic focus of the SUSA project, including digital health and healthcare innovation, health data management and interoperability, artificial intelligence applications in healthcare, and advanced digital skills development and practical application of SUSA educational content. Internship positions will be open to students enrolled in degree programs, with a focus on engineering and health-related disciplines that are relevant to the SUSA learning objectives.
This call is launched solely by Gnomon Informatics SA (Gnomon). The financial support to the selected successful applicants will be provided directly by Gnomon in its own name and under its own responsibility.
Seven internship calls are planned throughout the project. The announcement will be published on June 2025 before the start of the Fall 2025-2026 academic semester with the following cutoff dates: September 2025, January 2026, September 2026, January 2027, September 2027, January 2028, and September 2028.
The opening date is June 30, 2025. The deadline model is multiple cut-off. The deadline dates are September 2, 2025, January 3, 2026, September 2, 2026, January 3, 2027, September 2, 2027, January 3, 2028, and September 2, 2028, all at 04:59 (Brussels time).
Gnomon will apply its internal internship recruitment framework, ensuring that all candidates are treated fairly and equally during selection and placement processes. Special attention will be given to diversity, equity, and inclusion (DEI), including gender and socio-economic background. The selection of candidates will be carried out based on the following transparent and merit-based criteria: Relevance of academic background to the topic of the internship (50%), basic technical or analytical skills where applicable (e.g., familiarity with digital tools or healthcare systems) (40%), and motivation and interest as expressed in the cover letter (10%). All applications will be reviewed by the hosting organization. Equal opportunities and non-discrimination principles will be strictly respected throughout the process.
The project acronym is SUSA. The full name of the EU-funded project is Sustainable Healthcare with Digital Health Data Competence. The grant agreement number is 101190010. The topic is DIGITAL-2023-SKILLS-05-SPECIALEDU - Specialised education programmes in key capacity areas.
In summary, Gnomon Informatics SA is offering internships in Digital Health and AI for students in medical, engineering, and bioinformatics fields. These internships provide practical experience with Gnomon's eHealthPass platform and involve working on AI development, data quality, and predictive analytics. Interns can choose from three tracks focusing on medical applications, data optimization, or clinical data. The internships can be remote, on-site, or hybrid, and interns will work in interdisciplinary teams using technologies like Java, Python, FHIR, HL7, Azure, and AWS. Applicants need to submit a CV and motivation letter, and selected interns may receive financial support. The program aims to bridge the gap between academic knowledge and industry skills in the rapidly evolving field of digital health. There are multiple application deadlines spanning from September 2025 to September 2028.
Gnomon Informatics SA specializes in digital health solutions and the internships provide hands-on experience with eHealthPass, a certified patient-centered platform for remote patient monitoring, including a mobile app for patients and a web application for healthcare professionals. eHealthPass is a solution for remote care, virtual care and hospital at home, as well as a communication and patient empowerment tool. Behind eHealthPass there is also the eHealthPass.CDR, a platform providing and enabling HIE (Health Information Exchange) complete lifecycle management of structured and unstructured clinical documents and clinical data, and their secure sharing/exchange. Interns will contribute to AI development, data quality enhancement, and predictive analytics in healthcare.
There are three internship tracks:
1. Medical Students AI and Digital Health Applications: Tasks include assisting in training AI models by feeding them with structured and unstructured medical data, understanding and improving AI-assisted decision support tools for clinical applications, and exploring ways to generate customized outcomes and predictions for individual patients. Focus areas include medical file structures and content (questionnaires, educational and other materials) and usability of the product.
2. Engineering & Data Science Students Data & AI Optimization: Tasks include contributing to data quality assessment and enhancing data mesh architecture, developing and testing AI tools for predictive analytics and patient monitoring, and exploring interoperability challenges in digital health using HL7 FHIR and other HL7 standards (HL7v2 messages, HL7 CDA). Also includes assisting in data visualization techniques to support decision-making for healthcare providers (UX/UI for HealthTech).
3. Bioinformatics/ Biomedical Students Clinical Data: Focus areas include clinical data model and governance, terminology management, GDPR & EHDS issues, and eHealthPass use cases validation & scenarios.
The delivery mode and work environment include virtual internships (a cost-effective alternative allowing students to work remotely while accessing Gnomon’s digital infrastructure), on-site internships (available at the company headquarters for students who prefer in-person collaboration), and a hybrid approach (combining remote and on-site work for flexibility). Interns will work in small interdisciplinary teams under the guidance of mentors and domain experts, engaging in collaborative research and development.
Interns will work on: Healthcare Interoperability (learning and applying standards like FHIR, HL7, and IHE XDS), Artificial Intelligence (participating in AI-powered solutions for clinical decision support, health record processing, and document classification), Software Development (collaborating in real projects, using Java, Spring Boot, Python, APIs, and cloud platforms (Azure, AWS)), Medical Data Processing (working with EHR systems, patient summaries, and secure document exchanges), and R&D Projects (contributing to European Research Projects and pilot implementations in real healthcare settings).
Technologies used include: Java/ Spring Boot/ Python, FHIR/ HL7/ IHE, Azure/ AWS/ Docker/ Kubernetes, and AI Models/ Prompt Engineering/ LLMs.
Gnomon expects candidates to have curiosity and willingness to learn, basic programming knowledge (preferably Java or Python), an interest in healthcare or AI, and teamwork skills.
Upon completion, interns will gain practical experience in digital health platforms and AI integration, understand data governance, privacy regulations (GDPR), and interoperability, develop hands-on skills in data science, machine learning, and healthcare informatics, and enhance problem-solving and critical thinking abilities in a real-world healthcare environment.
Assessment and certification will be based on the completion of assigned tasks and active participation in projects, the development of a mini research report or technical presentation at the end of the internship, and the issuance of an Internship Certificate by Gnomon Informatics SA, potentially co-branded with academic institutions.
Interested students should submit a short CV highlighting relevant skills and background and a brief motivation letter (max. 1 page) explaining their interest in the internship and preferred track (Medical or Engineering). Applications should be sent to a.karabatea@gnomon.com.gr with the subject “Digital Health Internship Application – [Your Name]”.
Financial support will be available to facilitate student mobility. SUSA students will have access to internship opportunities offered by both consortium members and affiliated ecosystem partners. Student exchanges between Higher Education Institutions (HEIs) will be further supported through a structured and mentored Erasmus+ mobility initiative.
The maximum amount of financial support is set at €1,500 per month of internship, calculated based on an estimated structure of 20 internships with a 4-month duration each. The total funding available is 120,000.00 €. In cases where internships are implemented with a shorter duration than four months, the remaining budget may be reallocated to fund additional internship placements, until the total allocated amount has been fully utilized. Internships must be aligned with the thematic focus of the SUSA project, including digital health and healthcare innovation, health data management and interoperability, artificial intelligence applications in healthcare, and advanced digital skills development and practical application of SUSA educational content. Internship positions will be open to students enrolled in degree programs, with a focus on engineering and health-related disciplines that are relevant to the SUSA learning objectives.
This call is launched solely by Gnomon Informatics SA (Gnomon). The financial support to the selected successful applicants will be provided directly by Gnomon in its own name and under its own responsibility.
Seven internship calls are planned throughout the project. The announcement will be published on June 2025 before the start of the Fall 2025-2026 academic semester with the following cutoff dates: September 2025, January 2026, September 2026, January 2027, September 2027, January 2028, and September 2028.
The opening date is June 30, 2025. The deadline model is multiple cut-off. The deadline dates are September 2, 2025, January 3, 2026, September 2, 2026, January 3, 2027, September 2, 2027, January 3, 2028, and September 2, 2028, all at 04:59 (Brussels time).
Gnomon will apply its internal internship recruitment framework, ensuring that all candidates are treated fairly and equally during selection and placement processes. Special attention will be given to diversity, equity, and inclusion (DEI), including gender and socio-economic background. The selection of candidates will be carried out based on the following transparent and merit-based criteria: Relevance of academic background to the topic of the internship (50%), basic technical or analytical skills where applicable (e.g., familiarity with digital tools or healthcare systems) (40%), and motivation and interest as expressed in the cover letter (10%). All applications will be reviewed by the hosting organization. Equal opportunities and non-discrimination principles will be strictly respected throughout the process.
The project acronym is SUSA. The full name of the EU-funded project is Sustainable Healthcare with Digital Health Data Competence. The grant agreement number is 101190010. The topic is DIGITAL-2023-SKILLS-05-SPECIALEDU - Specialised education programmes in key capacity areas.
In summary, Gnomon Informatics SA is offering internships in Digital Health and AI for students in medical, engineering, and bioinformatics fields. These internships provide practical experience with Gnomon's eHealthPass platform and involve working on AI development, data quality, and predictive analytics. Interns can choose from three tracks focusing on medical applications, data optimization, or clinical data. The internships can be remote, on-site, or hybrid, and interns will work in interdisciplinary teams using technologies like Java, Python, FHIR, HL7, Azure, and AWS. Applicants need to submit a CV and motivation letter, and selected interns may receive financial support. The program aims to bridge the gap between academic knowledge and industry skills in the rapidly evolving field of digital health. There are multiple application deadlines spanning from September 2025 to September 2028.
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Breakdown
Eligible Applicant Types: The eligible applicant types are Medical, Engineering, and Biomedical/Bioinformatics students (BSc/MSc).
Funding Type: The funding type is a service contract, specifically an internship opportunity with financial support for student mobility.
Consortium Requirement: The opportunity is for a single applicant, i.e., an individual student.
Beneficiary Scope (Geographic Eligibility): The geographic eligibility is not explicitly stated, but the mention of Erasmus+ mobility initiative and the context of a European project (SUSA) suggest that students from Higher Education Institutions (HEIs) within the EU and possibly associated countries are eligible.
Target Sector: The target sectors are digital health, artificial intelligence, data science, and healthcare informatics.
Mentioned Countries: No specific countries are mentioned, but the context implies eligibility for students from Higher Education Institutions (HEIs) within the EU and possibly associated countries. Turkey is mentioned as the location of METU, one of the partners. Greece is the location of Gnomon Informatics SA.
Project Stage: The project stage is focused on providing practical experience and skills development, bridging the gap between academic knowledge and industry-ready skills. This suggests a focus on development and validation.
Funding Amount: The maximum financial support is €1,500 per month of internship. The total funding available is €120,000, calculated based on an estimated structure of 20 internships with a 4-month duration each.
Application Type: The application type is an open call with multiple cut-off dates.
Nature of Support: Beneficiaries will receive both non-monetary services (the internship experience, mentorship, and training) and money (financial support for student mobility).
Application Stages: The application process appears to be a single-stage process, requiring a CV and motivation letter.
Success Rates: The success rates are not explicitly mentioned.
Co-funding Requirement: Co-funding is not explicitly mentioned as a requirement for the applicant.
Summary:
This opportunity is a Digital Health & AI Internship program offered by Gnomon Informatics SA, a Greek informatics company, within the framework of the SUSA (Sustainable Healthcare with Digital Health Data Competence) project. The internships are open to Medical, Engineering, and Biomedical/Bioinformatics students (BSc/MSc) and are designed to provide hands-on experience in digital health solutions, artificial intelligence, data science, and healthcare informatics. Interns will work on projects related to Gnomon's eHealthPass platform, contributing to AI development, data quality enhancement, and predictive analytics.
The internships are available in three tracks: Medical Students (AI and Digital Health Applications), Engineering & Data Science Students (Data & AI Optimization), and Bioinformatics/Biomedical Students (Clinical Data). The delivery mode can be remote (virtual), on-site at Gnomon Informatics SA offices, or a hybrid approach. Interns will work in interdisciplinary teams under the guidance of mentors and domain experts.
The program aims to provide practical experience in digital health platforms and AI integration, understanding of data governance, privacy regulations (GDPR), and interoperability, development of hands-on skills in data science, machine learning, and healthcare informatics, and enhancement of problem-solving and critical thinking abilities.
Applicants are expected to have curiosity and willingness to learn, basic programming knowledge (preferably Java or Python), interest in healthcare or AI, and teamwork skills. The technologies used during the internship include Java/Spring Boot/Python, FHIR/HL7/IHE, Azure/AWS/Docker/Kubernetes, and AI Models/Prompt Engineering/LLMs.
The application process involves submitting a short CV and a brief motivation letter to a.karabatea@gnomon.com.gr. Financial support of up to €1,500 per month is available to facilitate student mobility. Seven internship calls are planned throughout the project, with multiple cut-off dates from September 2025 to September 2028.
The SUSA project, under which these internships are offered, aims to promote sustainable healthcare with digital health data competence. The internships are aligned with the thematic focus of the SUSA project, including digital health and healthcare innovation, health data management and interoperability, artificial intelligence applications in healthcare, and advanced digital skills development.
Funding Type: The funding type is a service contract, specifically an internship opportunity with financial support for student mobility.
Consortium Requirement: The opportunity is for a single applicant, i.e., an individual student.
Beneficiary Scope (Geographic Eligibility): The geographic eligibility is not explicitly stated, but the mention of Erasmus+ mobility initiative and the context of a European project (SUSA) suggest that students from Higher Education Institutions (HEIs) within the EU and possibly associated countries are eligible.
Target Sector: The target sectors are digital health, artificial intelligence, data science, and healthcare informatics.
Mentioned Countries: No specific countries are mentioned, but the context implies eligibility for students from Higher Education Institutions (HEIs) within the EU and possibly associated countries. Turkey is mentioned as the location of METU, one of the partners. Greece is the location of Gnomon Informatics SA.
Project Stage: The project stage is focused on providing practical experience and skills development, bridging the gap between academic knowledge and industry-ready skills. This suggests a focus on development and validation.
Funding Amount: The maximum financial support is €1,500 per month of internship. The total funding available is €120,000, calculated based on an estimated structure of 20 internships with a 4-month duration each.
Application Type: The application type is an open call with multiple cut-off dates.
Nature of Support: Beneficiaries will receive both non-monetary services (the internship experience, mentorship, and training) and money (financial support for student mobility).
Application Stages: The application process appears to be a single-stage process, requiring a CV and motivation letter.
Success Rates: The success rates are not explicitly mentioned.
Co-funding Requirement: Co-funding is not explicitly mentioned as a requirement for the applicant.
Summary:
This opportunity is a Digital Health & AI Internship program offered by Gnomon Informatics SA, a Greek informatics company, within the framework of the SUSA (Sustainable Healthcare with Digital Health Data Competence) project. The internships are open to Medical, Engineering, and Biomedical/Bioinformatics students (BSc/MSc) and are designed to provide hands-on experience in digital health solutions, artificial intelligence, data science, and healthcare informatics. Interns will work on projects related to Gnomon's eHealthPass platform, contributing to AI development, data quality enhancement, and predictive analytics.
The internships are available in three tracks: Medical Students (AI and Digital Health Applications), Engineering & Data Science Students (Data & AI Optimization), and Bioinformatics/Biomedical Students (Clinical Data). The delivery mode can be remote (virtual), on-site at Gnomon Informatics SA offices, or a hybrid approach. Interns will work in interdisciplinary teams under the guidance of mentors and domain experts.
The program aims to provide practical experience in digital health platforms and AI integration, understanding of data governance, privacy regulations (GDPR), and interoperability, development of hands-on skills in data science, machine learning, and healthcare informatics, and enhancement of problem-solving and critical thinking abilities.
Applicants are expected to have curiosity and willingness to learn, basic programming knowledge (preferably Java or Python), interest in healthcare or AI, and teamwork skills. The technologies used during the internship include Java/Spring Boot/Python, FHIR/HL7/IHE, Azure/AWS/Docker/Kubernetes, and AI Models/Prompt Engineering/LLMs.
The application process involves submitting a short CV and a brief motivation letter to a.karabatea@gnomon.com.gr. Financial support of up to €1,500 per month is available to facilitate student mobility. Seven internship calls are planned throughout the project, with multiple cut-off dates from September 2025 to September 2028.
The SUSA project, under which these internships are offered, aims to promote sustainable healthcare with digital health data competence. The internships are aligned with the thematic focus of the SUSA project, including digital health and healthcare innovation, health data management and interoperability, artificial intelligence applications in healthcare, and advanced digital skills development.
Short Summary
Impact The Gnomon Internships Offer aims to provide students with practical experience in digital health and AI, bridging the gap between academic knowledge and industry-ready skills. | Impact | The Gnomon Internships Offer aims to provide students with practical experience in digital health and AI, bridging the gap between academic knowledge and industry-ready skills. |
Applicant Applicants should possess basic programming knowledge (preferably Java or Python), an interest in healthcare or AI, and teamwork skills. | Applicant | Applicants should possess basic programming knowledge (preferably Java or Python), an interest in healthcare or AI, and teamwork skills. |
Developments The funding will support internships focused on digital health solutions, AI development, data quality enhancement, and healthcare informatics. | Developments | The funding will support internships focused on digital health solutions, AI development, data quality enhancement, and healthcare informatics. |
Applicant Type This funding is designed for individual students enrolled in degree programs in medical, engineering, and biomedical-bioinformatics fields. | Applicant Type | This funding is designed for individual students enrolled in degree programs in medical, engineering, and biomedical-bioinformatics fields. |
Consortium The funding is for single applicants, specifically individual students. | Consortium | The funding is for single applicants, specifically individual students. |
Funding Amount The funding amount is €1,500–€6,000 per intern, depending on the duration of the internship. | Funding Amount | The funding amount is €1,500–€6,000 per intern, depending on the duration of the internship. |
Countries The opportunity is open internationally, but it is likely targeting students from EU/EEA countries due to the context of the SUSA project. | Countries | The opportunity is open internationally, but it is likely targeting students from EU/EEA countries due to the context of the SUSA project. |
Industry This funding targets the health, ICT, and biotech/medtech sectors, specifically focusing on digital health and AI applications. | Industry | This funding targets the health, ICT, and biotech/medtech sectors, specifically focusing on digital health and AI applications. |
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