Publisher
source

Institut Pasteur

PhD Student Position in Machine Learning and Integrative Genomics at Institut Pasteur Institut Pasteur in France

Degree Level

PhD

Field of study

Computer Science

Funding

Salary is provided according to Institut Pasteur guidelines. No further details on stipend amount or tuition coverage are specified.

Deadline

Dec 31, 2026

Country flag

Country

France

University

Institut Pasteur

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Keywords

Computer Science
Data Science
Machine Learning
Biology
Computational Biology
Python Programming
Statistics
Spatial Transcriptomic

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About this position

The Institut Pasteur in France is offering a PhD student position in the Machine Learning for Integrative Genomics team, led by Laura Cantini. This research group operates at the intersection of machine learning and biology, focusing on the development of innovative computational methods for single-cell data analysis. The successful candidate will work on projects involving the integration of multi-omics data, with a particular emphasis on inferring trajectories from spatial transcriptomics data, modeling both gene expression and spatial evolution of cells.

Applicants should have a strong background in machine learning or statistics, and must be proficient in high-level programming languages such as Python. Experience with single-cell data and familiarity with existing single-cell analysis methods and software are highly desirable. The position requires excellent communication skills, the ability to work both independently and as part of a team, and fluency in English. Candidates must hold a Master's degree (M2) in data science, computer science, or applied mathematics.

The position is available starting from October, with salary provided according to Institut Pasteur guidelines. The application deadline is December 31, 2026. To apply, candidates should send their CV, motivation letter, and contact details of 2-3 references to [email protected]. More information about the research team and their work can be found at the provided academic page. This opportunity is ideal for students interested in machine learning, genomics, computational biology, and data science, and offers the chance to contribute to cutting-edge research in a leading international institute.

Funding details

Salary is provided according to Institut Pasteur guidelines. No further details on stipend amount or tuition coverage are specified.

What's required

Applicants must have a Master's degree (M2) in data science, computer science, or applied mathematics. A strong background in machine learning or statistics is required. Proficiency in high-level programming languages such as Python is essential. Familiarity with single-cell data and experience with existing single-cell methods and software are strong advantages. Excellent communication skills, team spirit, autonomy, and fluency in spoken and written English are required. Candidates should provide a CV, motivation letter, and contact details of 2-3 references.

How to apply

Send your CV, motivation letter, and contact details of 2-3 references to [email protected]. Review the team and research focus at the provided academic page. Apply before the deadline of December 31, 2026.

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