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Human Technopole

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Fully Funded PhD Positions in Data Analytics, Systems Medicine, and Computational Biology at Human Technopole Human Technopole in Italy

Degree Level

PhD

Field of study

Computer Science

Funding

The post advertises 16 fully funded PhD positions at Human Technopole. Funding details beyond full funding are not specified in the post.

Deadline

Sep 18, 2026

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Country

Italy

University

Human Technopole

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Keywords

Computer Science
Data Science
Molecular Biology
Biomedical Engineering
Medicine
Biotechnology
Biology
Mathematics
Artificial Intelligence
Computational Biology
Neuropsychology
Technical Engineering
Genomic
Statistics
Bioinformatic
Physics

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About this position

Human Technopole in Milan, Italy is advertising 16 fully funded PhD positions across two main tracks: Data Analytics & Decision Sciences (Politecnico di Milano) and Systems Medicine (SEMM PhD Programme).

Track 1: Data Analytics & Decision Sciences includes projects on AI foundation models for health data/EHR, cell morphodynamics, antibiotic resistance evolution, pangenome-aware single-cell transcriptomics, and computational pathology. Target backgrounds include Computer Science, Artificial Intelligence, Data Science, Bioinformatics, Mathematics, Physics, and Engineering.

Track 2: Systems Medicine focuses on paediatric AML immune ecosystems, primary cilia in ciliopathies, thyroid hormone regulation, and cardiometabolic diseases. Target backgrounds include Life Sciences, Medicine, Biotechnology, Molecular Biology, and Biomedical Engineering.

Applicants are encouraged to contact the relevant group leaders in advance with a CV and brief cover letter to discuss project fit. Formal applications must be submitted via the official university platforms before the respective deadlines.

Application windows: Track 1 opens 30 July 2026 and closes 18 September 2026; Track 2 opens 28 July 2026 and closes 7 September 2026.

Funding: fully funded PhD positions.

Funding details

The post advertises 16 fully funded PhD positions at Human Technopole. Funding details beyond full funding are not specified in the post.

What's required

Applicants should have a background aligned with the chosen track: Computer Science, AI/ML, Data Science, Bioinformatics, Mathematics, Physics, or Engineering for Track 1; Life Sciences, Medicine, Biotechnology, Molecular Biology, or Biomedical Engineering for Track 2. Prospective applicants are encouraged to contact the relevant group leaders with a CV and brief cover letter before applying. Formal applications must be submitted through the official university platforms by the stated deadlines.

How to apply

Review the official Human Technopole calls for the relevant track. Email the respective group leaders with a CV and brief cover letter to discuss project fit, then submit the formal application through the official university platform before the track deadline.

More information can be found here

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