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to conduct his own research projects if the scientific scope is compatible with the ERC ATTRACTE (modulo machine time). This position is funded by the ERC Starting Grant ATTRACTE project (2023-2028, PI: G
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elucidating the molecular and cellular mechanisms of the late phase of long-term potentiation (LTP), a key process in learning and memory. The project is based on the development and use of an innovative
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quite new within the field of computer vision. The neuromorphic design allows for a much higher acquisition frequency but most and foremost much longer acquisition time spans. This makes it ideal
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TCAD (Technology Computer Aided Design) simulation desirable. - Experience in power electronics desirable Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UPR8001-DAVTRE-003
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to €15 per month, subject to conditions - staff restaurant at a preferential rate - car park - leisure, sports and cultural activities via the social action and mutual aid committee (CAES du CNRS) or local
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using deep learning or causal learning methods. Candidates must have solid experience with large spatial and temporal datasets, large model manipulation, and HPC. The candidate must also have experience
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. Experience in instrumentation and metrology would be appreciated. Proficiency in instrumentation-computer interfaces and programming necessary for automatic data acquisition and remote monitoring
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of Learning and Development (LEAD- UMR-5022), at the Université Bourgogne Europe, CNRS (https://lead.ube.fr/ ) . To apply, please submit: - CV - Cover letter describing your interest in the position
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- pan-Arctic simulations with ISBA - learning how to use permaFOAM - gathering of data necessary to use permaFOAM on the Abisko site - analysis and comparison of the ISBA and permaFOAM simulations
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or post-colonial worlds. He or she will analyze literary forms—fictional, auto fictional, or testimonial—that give shape to psychological suffering and the fragmentation of subjectivity in a context of