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Postdoctoral Opportunity in Molecular Biology to Model the Progression of Rheumatoid Arthritis (M/F)
sciences » Biological engineeringYears of Research Experience1 - 4 Additional Information Eligibility criteria The successful candidate must hold a PhD in molecular biology, medicinal chemistry, or a related
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computer science, artificial intelligence, computer vision, machine learning, or a closely related field. They should demonstrate: strong expertise in deep learning, computer vision, and generative models, a
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Psychological sciences » Psychology Psychological sciences » Cognitive science Psychological sciences » Behavioural sciences Researcher Profile First Stage Researcher (R1) Recognised Researcher (R2) Positions
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should have completed a PhD in Economics, possess solid theoretical skills and be used to present their work at international conferences. Website for additional job details https://emploi.cnrs.fr/Offres
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of Catalysis and Chemistry of Solids (UCCS, UMR 8181 CNRS) brings together 105 researchers and faculty members, 32 technical and administrative staff, an average of 80 PhD students, and 20 postdoctoral
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2 Apr 2026 Job Information Organisation/Company CNRS Department Laboratoire Paul Painlevé Research Field Mathematics History » History of science Researcher Profile First Stage Researcher (R1
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Your profile PhD degree in Computer Science, Applied Mathematics, Computational Engineering, Physics, or an equivalent field with a focus on High-Performance Computing Advanced Know-How in the fields
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24 Apr 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Jun 2026 Is the job funded through the EU Research Framework Programme
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2 Apr 2026 Job Information Organisation/Company CNRS Department Centre de Nanosciences et de Nanotechnologies Research Field Engineering Physics Technology Researcher Profile First Stage Researcher
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interdisciplinary, and together we contribute to science and society. Your role The selected candidate will develop a computational platform to identify hierarchical combinations of cell fate conversion factors