335 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at CNRS
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Application Deadline 4 Dec 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 5 Jan 2026 Is the job funded through the EU Research Framework Programme? Not
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Application Deadline 25 Dec 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 2 Feb 2026 Is the job funded through the EU Research Framework Programme
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Programme? Horizon 2020 Is the Job related to staff position within a Research Infrastructure? No Offer Description This project aims to develop new catalysts (heterogeneous catalysts) and catalytic processes
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through the EU Research Framework Programme? Horizon 2020 Is the Job related to staff position within a Research Infrastructure? No Offer Description The post-doctoral researcher will participate in the ERC
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: https://cerco.cnrs.fr/spatial-vision-in-man-monkey-machine/ ), specializes in the study of the neural and cognitive mechanisms underlying spatial vision. Toulouse is a university city offering a high
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Offer Starting Date 1 Jan 2026 Is the job funded 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
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ExperienceNone Additional Information Eligibility criteria - Holding a doctoral degree in particle physics - Experience in C++ and Python programming is desired - Experience in training and using Machine Learning
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France Application Deadline 28 Feb 2026 - 12:00 (Europe/Paris) Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Apr 2026 Is the job funded through the EU Research Framework Programme
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the job funded 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 ANR VITRISINT
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in the Earth's outer core, with implications for deep Earth processes [1]. A variety of inverse methods (data assimilation, machine learning, etc.) has been employed to recover the fluid motions in