203 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at CNRS
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4 Oct 2025 Job Information Organisation/Company CNRS Department Laboratoire d'informatique de modélisation et d'optimisation des systèmes Research Field Computer science Mathematics » Algorithms
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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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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As part of this postdoctoral research, capillary debinding will be
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Centre International de
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skills for this position are: o Good knowledge of the technological challenges of agricultural/viticultural robotics. o Proven skills in: vision-based robot modeling and control; computer vision and
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researcher will join the bioinformatics team at the MMSB Laboratory (UMR 5086; MOMS team). Responsibilities: (1) computer simulations as part of the SELDOM project, focusing on interactions between lipids and
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chemistryYears of Research Experience1 - 4 Research FieldChemistry » Computational chemistryYears of Research Experience1 - 4 Additional Information Eligibility criteria • PhD of less than two years in chemistry
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» AlgorithmsYears of Research ExperienceNone Additional Information Eligibility criteria - PhD in one of the following areas (or related fields): * Machine learning / deep learning * Quantum computing / quantum
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). • Advanced quantitative analyses (machine learning, computer vision, multilevel statistics). • Creation and use of Python code for advanced analyses. • Management and monitoring of complex transgenic lines
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FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria We are looking for a colleague with a PhD in particle physics. Experience with machine learning and/or experience with