202 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at CNRS
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27 Feb 2025 Job Information Organisation/Company CNRS Department Institut de recherche en informatique et systèmes aléatoires Research Field Computer science Mathematics » Algorithms Researcher
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mechanisms engaged when deciding to transmit information in social networks. Candidates must have (or nearing completion of) a PhD degree in neuroscience, social psychology, behavioral economics, computational
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Deadline 10 Mar 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 May 2025 Is the job funded through the EU Research Framework Programme? Not funded
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will focus on studying the principles of neural computation through recurrent neural networks, dynamical systems theory, and machine learning. - Develop mathematical and computational models of neural
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and machine learning Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8254-SYLDES-005/Default.aspx Work Location(s) Number of offers available1Company/InstituteLaboratoire
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machine-learning is required, as well as a good knowledge of associated theoretical tools (statistical physics of liquids, ...; programming experience among: Python, Fortran, C, C++, ...). A good command of
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simulation and/or machine-learning is required, as well as a good knowledge of associated theoretical tools (statistical physics of liquids, ...; programming experience among: Python, Fortran, C, C++, ...). A
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equipped for cell culture (L2 and L3 for virus production), and for molecular biology (benchtop equipment, robotic pipettors, PCR machines, etc.). Each person has his/her own desk and computer. Where to
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analysis, applied mathematics or computer science. Strong knowledge in geodesic methods and Deep Learning. Strong programming skills. Motivation for applications in medical imaging. Publications in
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ejection (CME) impacts, but also outside CME periods, when plasma jets are detected. It will involve developing a machine-learning detection tool to extend the event databases corresponding to conjunctions