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AI Health Masterclass 2026
Masterclass 2026 Info Session
Watch the Masterclass introduction webinar
MARE è un progetto innovativo, caratterizzato da un’assoluta unicità.
Do you want to work in Venice and be part of a unique project in Europe?
Come and discover MARE Technopark through the MARE AI Health Masterclass: two days designed to help you find out if this is really the project you want to bet your future on.
AI Health Masterclass 2026
28–29 november 2026 · Santa Apollonia, Venice · In English
The Masterclass is at the heart of the MARE Talent Program: two intensive days in Venice, working on real cases alongside our best developers and team leaders, as well as researchers from leading institutions in Italy and abroad.
It’s not just a chance to show what you can do: it’s a concrete way to find out whether MARE is really the right project for you.
Free
Travel, meals, and accommodation in Venice, fully covered by MARE.
Real
You’ll work directly on the MARE Data Lake, with real clinical cases, not toy datasets.
Selective
40 participants, selected from hundreds of applications.
Concrete
5–6 job offers at the end of the programme.
Who we’re looking for
Candidate profile
Master’s students about to graduate, recent graduates, or PhD candidates in:
- Computer Science
- Computer Engineering
- Biomedical Engineering
- Mathematics
- Data Science
- Computational Science
Required skills
- PPython applied to real data — Pandas, SQL, Jupyter, not just theory.
- Machine Learning — scikit-learn, TensorFlow, or PyTorch, even in an academic setting.
- English at B2 level or above — the Masterclass is delivered in English.
- Genuine curiosity about AI applied to healthcare and a problem-solving mindset.
We’re looking for people who want to become part of a community and an extraordinary transformation project: living tomorrow on a campus in Venice and contributing today to the growth of a community of excellence and innovation.
No prior work experience is required: we’re looking for potential and the drive to be there, not a résumé.
The technology you’ll work with
MARE Data Lake
Real clinical data drawn directly from CGM systems, standardized to FHIR and OMOP, GDPR-compliant by design. Longitudinal medical records, prescriptions, and health events — the kind of data infrastructure most researchers can only dream of having access to.
MARE AI Engine
An live development environment for building artificial predictive models on real healthcare cases: LLMs and RAG, NLP applied to clinical texts, and predictive models — built natively on TensorFlow and PyTorch and designed from day one to be AI Act compliant.
MARE è un progetto innovativo, caratterizzato da un’assoluta unicità.
Format
Data
Venice · 28–29 November 2026
Day 1 – Understand the context
Meet the team and academic partners.
Explore MARE, big data for healthcare.
Day 2 – Put yourself into the work
Work in teams on a real AI-for-health scenario, develop a use case and pitch your idea.
Output
5–6 immediate job offers. All participants will join a Talent Pool for future opportunities at MARE.
Chi stiamo cercando
MARE in brief
MARE is Europe’s newest hub dedicated to artificial intelligence applied to healthcare, being built in Venice on the site of the former Ospedale al Mare, in partnership with CompuGroup Medical (CGM), Europe’s leading eHealth company, with 1.6 million healthcare professionals as clients in 19 countries and more than 9,000 employees.
Cerchiamo persone che abbiano voglia di entrare a far parte di una community e di un progetto di trasformazione straordinario: vivere domani in un campus a Venezia, e contribuire già da oggi alla crescita di una comunità di eccellenza e innovazione.
Non è richiesta esperienza lavorativa pregressa, cerchiamo potenziale e voglia di esserci, non un curriculum.
MARE è un progetto innovativo, caratterizzato da un’assoluta unicità.
Ready to build what’s next?
Forty places. Two days that could change the direction of your career. If you’re finishing a Master’s degree or a technical postgraduate programme and want to put your skills to the test on real clinical data, solid infrastructure, and a real team — this is where you start.
