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Field
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-destructive, fast, and suitable techniques for qualifying integrated electronic circuits at the end of their first life cycle, in order to facilitate their reuse. 1. Study of the main aging mechanisms and their
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hyperparameters. Your main responsibilities will be: To carry out research missions in the field of Optimization for Machine Learning To ensure supervision and tutoring missions To contribute to the reputation
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to develop a new generation of fluorescence microscopy methods aimed at overcoming current limitations in acquisition time for single-molecule imaging. The project explores original strategies for temporal
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conditions In the framework of the development of barocaloric refrigerators (collaborative European project EIC Pathfinder with 7 partners from 4 different countries https://frostbitproject.eu ), we
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HTML user interface for visualising the final data resulting from the screening. - Contribute to the development of an original method for searching for pharmacophores based on raw data from virtual
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https://emploi.cnrs.fr/Offres/CDD/UMR6614-THIBES-064/Default.aspx Requirements Research FieldEngineeringEducation LevelPhD or equivalent Research FieldChemistryEducation LevelPhD or equivalent Research
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has state-of-the-art scientific equipment, from synthesis to characterisation of molecular materials Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5031-CORAME0-053/Candidater.aspx
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, using the ModLoc approach developed by the group (Nature Photonics, 2021). A key aspect of the project will be the implementation of an original detection strategy based on oblique plane re-imaging
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/ researchers and 138 engineers and technicians), 46 staff on fixed-term contracts and 102 doctoral students. For more information, do not hesitate to consult the IPHC website: http://www.iphc.cnrs.fr
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research centre dedicated to understanding normal and pathological brain function and developing new diagnostic and therapeutic approaches. Website: https://neurosciences.univ-grenoble-alpes.fr You will be