428 machine-learning-"https:" "https:" "https:" "RAEGE Az" Postdoctoral positions in France
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- l'institut du thorax, INSERM, CNRS, Nantes Université
- École nationale des ponts et chaussées
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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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the Condorcet Building of Université Paris Cité, with possible visits in the CERM Laboratory of the University of Liège and BVI (Belgium). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7162
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reliability. · Understanding of hardware accelerators for AI and their operation. · Familiarity with machine learning workloads (e.g., CNNs). As this is a research position, it is necessary
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; apply the developed methodology to complex heterostructures The postdoctoral researcher will be recruited within the Chemical Theory and Modelling team (http://www.quanthic.org ) of the Institute
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refrigerators (collaborative European project EIC Pathfinder with 9 partners from 4 different countries https://frostbitproject.eu ), we are looking for a postdoctoral researcher to join us at CRM2[1
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(dalimil.mazac@ipht.fr) or Eric Perlmutter (perl@ipht.fr). We are not accepting applications for this job through AcademicJobsOnline.Org right now. Please apply at https://academicjobsonline.org/ajo/jobs/30903
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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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the framework of the ANR EmergeNS whose aim is to understand, through mathematical and computer models, the role that autocatalysis, multistability and spatial heterogeneity may have played in the emergence
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variations of the EMF, relies on the ability of rocks to acquire a thermoremanent magnetization that remains stable over time. Paleointensity, which measures the intensity of Earth's magnetic field recorded in
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de réacteurs auto-agité par jets gazeux. Le candidat embauché aura l'opportunité de rejoindre un groupe multidisciplinaire composé de 6 doctorants, 4 postdoctorants et 3 chercheurs académiques