Publisher
source

MINES Paris - PSL

PhD in Translational AI for Longitudinal Health Data Mines Paris – PSL in France

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded supervised PhD position.

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Country

France

University

MINES Paris - PSL

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Keywords

Computer Science
Biomedical Engineering
Biology
Mathematics
Computational Biology
Python Programming
Medical Science
Technical Engineering
Statistics
Applied Mathematic
ML

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About this position

PhD opportunity in France in Translational AI for Longitudinal Health Data at Mines Paris – PSL and Institut Curie (Centre for Computational Biology, CBIO).

The position is a fully funded supervised PhD and is aimed at candidates with a background in Computer Science, Machine Learning, Applied Mathematics, Statistics, Engineering, Computational Biology, or a related field. Applicants should have Python proficiency and strong English.

To apply, send your CV, cover letter, transcripts, and two reference contacts by email to [email protected] with the subject line "PhD application".

Funding details

Fully funded supervised PhD position.

What's required

Master’s degree in Computer Science, Machine Learning, Applied Math, Statistics, Engineering, Computational Biology, or a related field; Python proficiency; strong English.

How to apply

Email your CV, cover letter, transcripts, and two reference contacts to [email protected]. Use the subject line "PhD application".

More information can be found here

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