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Cgm

Milano

MARE AI Health Masterclass 2026.

DATA & ML
MARE AI Health Masterclass 2026 Talent Program Location: Venice, Italy Dates: 28–29 November 2026 Language: English MARE is a new eHealth technology hub in Venice, dedicated to research, innovation and Artificial Intelligence applications for healthcare. The project is being developed in partnership with CompuGroup Medical (CGM), one of Europe's leading eHealth companies, driven by its mission: “Nobody should suffer or die because at some point medical information was missing.” As part of the growth of our Data & AI team in Venice, we are launching the MARE AI Health Masterclass 2026: two intensive days designed for talented young professionals, Master's students, recent graduates and PhD candidates who want to explore how their technical skills can be applied to real healthcare challenges. If you are passionate about data, Artificial Intelligence and healthcare, and you are looking for an opportunity to grow in an international and highly innovative environment, we look forward to receiving your application. About the Masterclass The Masterclass will bring together 40 selected participants in Venice for two days of learning, collaboration and hands-on work. You will have the opportunity to: meet the MARE Data & AI team, researchers and academic partners; learn more about the use of big data and Artificial Intelligence in healthcare; work in teams on a real healthcare-related scenario; visit the MARE site at the former Ospedale al Mare in Venice; take part in dedicated sessions to explore current and future career opportunities within MARE. Participation is free of charge. Travel, accommodation and meals in Venice will be covered by MARE. The Masterclass is part of the MARE Talent Program and is designed to identify talented candidates with the potential to join our growing team in Venice. Our current objective is to identify 5–6 profiles for potential junior opportunities within MARE. All selected participants will also become part of the MARE Talent Pool for future openings. What you will bring We are mainly looking for Master's students about to graduate, recent graduates, PhD candidates and early-career researchers in areas such as: Computer Science Computer Engineering Biomedical Engineering Mathematics Data Science Computational Science or other related quantitative and technical disciplines. Ideally, you have: a solid foundation in Python and data analysis, developed through university, research, personal projects or previous experience; familiarity with tools such as Pandas, SQL and Jupyter; a good understanding of Machine Learning concepts; experience with scikit-learn, TensorFlow or PyTorch is a plus; strong analytical and problem-solving skills; genuine curiosity about AI applied to healthcare; the ability to work collaboratively in an interdisciplinary environment; English language skills of at least B2 level; a genuine interest in being part of an on-site technology and research community in Venice. Previous professional experience in healthcare is not required. What you can expect from us Purpose and meaning Be part of a European project at the intersection of healthcare, data and Artificial Intelligence. Real experience Work on concrete healthcare challenges together with the people who are building MARE. A concrete opportunity The Masterclass can open the door to opportunities within the MARE team and to future roles through our Talent Pool. A community in Venice Meet the people who are building a new technology and research community in Venice and explore the possibility of becoming part of it. Ready to join us? Apply to join the MARE AI Health Masterclass 2026. 28–29 November 2026 · Venice · In English We create the future of e-health. CGM is one of the leading e-health companies in the world with more than 8.700 highly qualified employees Sustainable solutions for constantly growing demands in healthcare Locations in 19 countries and products in 60 countries worldwide
Pay
Not stated
Where
Milano · Via Riccardo Lombardi 19 · 10, Italy
Work
Not stated
Type
Not stated
Posted
18 Sep, 2026
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