Research Engineer F/M – Aligning medical foundation models across histology, spatial transcriptomics and MRI
Inria · Paris
Research instituteonsite
At a glance
Highlights
- Build pipeline aligning foundation models across histology, spatial omics and MRI.
- Extend two-modality alignment method to first three-modality setting with few pairs.
- Work at Paris Brain Institute on multimodal data for brain disorders.
Ideal candidate
A collaborative deep learning enthusiast passionate about multimodal representation learning and open science, eager to build reusable tools and support PhD research on brain disorders.
Requirements
- Solid Python programming and experience with PyTorch
- Practical experience in deep learning, including representation learning or self-supervised learning
- Good software practices: git, code review, testing, documentation, GPU clusters (SLURM)
- English proficiency
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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