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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
Website https://jobs.inria.fr/public/classic/en/offres/2025-09541 Requirements Skills/Qualifications Eligible candidates should have a PhD in computer science. Experience in formal methods or in
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workflows. Qualifications PhD in Computational Biology, Genomics, Biomedical Engineering, Neurosciences, or related fields. Proven expertise in single-cell or spatial transcriptomic/proteomic data analysis
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PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field * Demonstrated expertise in programming and scripting (e.g. R, Python, Bash) for data
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of tools and public goods. Requirements Applicants must have (or expect to have at time of appointment) a PhD in the social sciences, statistics, computer science, or related fields, and their interests must
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Ph.D. in Bioinformatics, Population Genetics, or Statistical Genomics and a first post-doc experience. Strong experience in next-generation sequencing (NGS) analysis in a Cloud computing environment is
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on an HPC system or in the commercial computing cloud For further information about this position please contact nternette001@dundee.ac.uk . To find out more about the Group please visit https
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of Contract Temporary Job Status Full-time Offer Starting Date 5 Jan 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Reference Number 101170457 Is the Job related to
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24 Oct 2025 Job Information Organisation/Company CNRS Department Institut de Chimie de Nice Research Field Chemistry » Physical chemistry Chemistry » Computational chemistry Researcher Profile
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think outside the box, to learn fast, collaborate effectively, iterate quickly, and work at the interface of both experimental and computational design. Qualifications for Computer Scientists, AI/ML: PhD
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-performance or cloud-computing environments What we offer: Ambitious and varied tasks in a dynamic and international research environment State-of-the-art equipment Collaboration within the SEISCLIM project and