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Statistical Signal Processing, Data Science, Machine Learning with an interest in astrophysics - or a PhD in Astroparticle Physics with skills and professional experience in experimental data analysis. Website
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FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria We are looking for a colleague with a PhD in particle physics. Experience with machine learning and/or experience with
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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 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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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
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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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part of the international Refuge-Arctic project (https://www.refuge-arctic.ulaval.ca ) with links to the NASA FORTE project, whose overall objective is to better understand and predict the role played by
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specialized training and mentoring and will be integrated into the project network. A personal computer will be made available to the researcher Where to apply Website https://emploi.cnrs.fr/Candidat/Offre
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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
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facilities and those of the LNE Trappes. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8255-SEBMER-006/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent