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Publisher
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University of Helsinki

Postdoctoral Researcher in Multimodal AI for Population Health University of Helsinki in Finland

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available

Deadline

Aug 16, 2026

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Country

Finland

University

University of Helsinki

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Keywords

Computer Science
Data Science
Biology
Personalized Medicine
Medical Science
Population Health
Salud Pública
Statistics
Machine learning

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About this position

Postdoctoral researcher opportunity in multimodal AI for population health at the Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki.

The Machine Learning for Health team, led by Tuomo Hartonen, is seeking a postdoctoral researcher to work with multimodal nationwide Finnish health data. The team’s mission is to use machine learning and data science to improve healthcare planning, personalized medicine, and targeted recall studies.

This role is well suited to researchers interested in computer science, medical science, public health, and statistics, especially those who want to build and study multimodal health trajectories at nationwide scale and help identify increasing disease risk as early as possible.

You will join an expanding team working on challenging, meaningful problems together with clinicians, and you will also have the opportunity to pursue your own ambitious research goals.

Position type: Postdoctoral researcher

Institution: Institute for Molecular Medicine Finland (FIMM), University of Helsinki

Application deadline: 2026-08-16

How to apply: Read the full job advertisement and apply through the University of Helsinki jobs portal using the official application link.

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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