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Andrea Ganna

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PhD and Postdoc Opportunities in AI for Electronic Health Records and Multi-omics at Population Scale Human Technopole in Italy

Degree Level

PhD, Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

Italy

University

Human Technopole

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Keywords

Computer Science
Population Genetics
Biology
Artificial Intelligence
Medical Science
Omics
Genetic
Statistics
Electronic Health Record

About this position

Human Technopole is recruiting postdocs and PhD students for research led by Andrea Ganna, focused on AI for electronic health records and multi-omics at population scale. The program aims to develop new methods and translate them into clinical studies that can validate real-world impact.

The opportunity is connected to a growing biomedical research environment at Human Technopole in Italy, with collaboration links to University of Helsinki and ongoing research activity in Finland. The post highlights work at the intersection of computer science, medical science, biology, and statistics, especially for candidates interested in human genetics, health data science, and large-scale biomedical data analysis.

Position types: postdoc and PhD openings are explicitly mentioned. Funding: not specified in the post. Eligibility: no detailed formal requirements are listed, but applicants should be motivated by AI, electronic health records, multi-omics, and translational clinical research.

How to apply: contact Andrea Ganna via DM if interested. A linked Human Technopole postdoc job page is provided for further details and application instructions.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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