317 machine-learning "https:" "https:" "https:" "UCL" Postdoctoral positions in France
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for optical transmission and OPV reception will be part of the recruited person’s tasks, and will require a background in optoelectronics. Where to apply Website https://www.unilim.fr/recrutement-post
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signal-to noise Post-processing: denoising, reconstruction algorithms Comparison with high-field MRI: deep-learning and other AI modalities for low-field MRI optimization Close cooperation with
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equipment will be made available as part of the project. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5281-FRENIC-002/Candidater.aspx Requirements Research FieldPolitical sciencesEducation
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to job-ref-908kcmggde@emploi.beetween.com before January 27th Work Location(s) Number of offers available1Company/InstituteGrenoble INP UGACountryFranceGeofield Contact City Grenoble Website http
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. The successful candidate will be employed at the Department of Computer Science of the University of Luxembourg and have access to high-performance computing resources suitable for large-scale machine-learning and
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. This project is in line with the themes addressed in Theme 2 and is also correlated with advanced investigation methods in electrochemistry. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8235
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Website https://emploi.cnrs.fr/Candidat/Offre/UMR7504-LAULIM-004/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent Research FieldPhysicsEducation LevelPhD or equivalent
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recherche en didactique, éducation et formation (LIRDEF)CountryFranceCityMontpellierPostal Code34000Geofield Contact City Montpellier Website https://lirdef.edu.umontpellier.fr/ Street 163 rue Auguste
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the application of the university’s strategy. This position is available within the Faculty of Science and Engineering: http://sciences.sorbonne-universite.fr Within Sorbonne University, the Faculty of Science and
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and X-ray techniques with temporal resolution from femtoseconds to picoseconds. Further information is available on the website: https://ipr.univ-rennes.fr/en/materials-and-light-departement Where