Internship: Statistics methods for neuroimaging data reuse in the presence of sample overlap
Inria · Rennes
Research instituteonsiteinternship
At a glance
Highlights
- Measure and mitigate sample overlap in reused neuroimaging datasets.
- Study task-fMRI to improve reproducibility of brain function research.
- Build simulations using shared data from OpenNeuro and NeuroVault.
Ideal candidate
A curious statistics or data science master's student passionate about medical imaging and research reproducibility, who enjoys learning new methods and communicating findings clearly.
Requirements
- Master's in statistics or data science
- Strong interest in medical imaging
- Good communication skills
- Good programming skills
- Excellent understanding of English
Lab profile
About Inria
French national research institute advancing digital sciences, computing, AI and applied mathematics.
What they build
- Digital sciences and computing research
- Artificial intelligence for microscopy and video analysis
- Quantum information theory
Known for
- Joint teams with Paris-Saclay University and Institut Polytechnique de Paris
- Embedded in Paris-Saclay science and technology cluster
- Rich R&D ecosystem with startups, industry and clusters
- International collaborations and multinational scientific staff
Key facts
- Founded in 1967
- Headquartered in France
- Nine research centres across France
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