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Postdoctoral Researcher in AI for Computational Biology, Institut Imagine, Paris, France

Postdoc in France

Postdoctoral Researcher in AI for Computational Biology: The Ricci Lab at Institut Imagine (Paris, France), a premier European biological research center, is seeking a talented and motivated Postdoctoral Associate. This position focuses on data-driven dynamical systems modeling in the context of genetic disease, leveraging AI and advanced computational methods.

Postdoctoral Researcher in AI for Computational Biology


Summary Table:

PositionPostdoctoral Researcher โ€“ AI for Computational Biology
LocationParis, France (Institut Imagine)
Duration2 years (renewable)
Salaryโ‚ฌ3434โ€“โ‚ฌ3572 gross/month + 10% bonus
Working Hours37.5 hours/week
Leave26 vacation days + 15 RTT days (pro-rated)
Start DateRolling โ€“ Apply ASAP
Last Date to ApplyApplications reviewed on a rolling basis (early submission advised)

Designation:

Postdoctoral Associate


Research Area:

  • Artificial Intelligence & Machine Learning
  • Computational Biology
  • Genetic Disease Modeling
  • Data-Driven Dynamical Systems
  • Optimal Control & Morphogenesis

Location:

Ricci Lab, Institut Imagine, Paris, France
(With close collaborations with Institut Pasteur, PR[AI]RIE, and others)


Eligibility / Qualification:

Essential:

  • Ph.D. in Applied/Pure Mathematics, Computer Science, Physics, Computational Biology, or related disciplines
  • Strong programming skills
  • Demonstrated research experience (e.g., publications, conference presentations)
  • Experience working with biological datasets
  • Fluency in English (spoken & written)

Preferred Skills/Experience:

  • Deep learning frameworks: Transformers, CNNs, Diffusion Models, Neural ODEs/PDEs
  • Dynamical systems & data-driven modeling (e.g., SINDy, Koopman)
  • Omics data analysis (scRNA-seq, spatial transcriptomics, etc.)
  • Familiarity with or use of foundation models

Job Description:

As a Postdoctoral Associate, you will:

  • Collaborate on cutting-edge research in computational modeling of gene regulatory networks and tissue morphogenesis
  • Develop AI models for understanding and controlling the progression of genetic diseases
  • Utilize rich in-house datasets and high-performance computing resources (e.g., NVIDIA DGX H200 clusters)
  • Co-design new research directions with the Principal Investigator
  • Contribute to cross-disciplinary projects at the intersection of ML, biology, and medicine

Resources & Benefits:

  • Compute: 12PB PureStorage cluster, 8x NVIDIA DGX H200, 150TB FlashBlade scratch space, 16โ€“20 CPU nodes
  • Data: Large omics datasets (scRNA-seq, ATAC-seq, spatial transcriptomics, proteomics)
  • Perks: Reserved housing near Institut, subsidized travel, 60% healthcare, 75% transport reimbursement, โ‚ฌ100/month in meal vouchers

How to Apply:

Send the following documents to matthew.ricci@institutimagine.org (subject: Postdoc):

  • Curriculum Vitae (with publications)
  • Contact details of two references
  • Brief statement of research experience (1โ€“2 pages)

Last Date to Apply:

Rolling basis โ€“ Applications are reviewed as they are received. Early application is highly encouraged.


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