432 machine-learning "https:" "https:" "https:" "https:" "The Open University" Postdoctoral positions in France
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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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(www.femto-st.fr ). This team involves members of the OHMS (https://teams.femto-st.fr//equipe-ohms/ ) [Time-Frequency Department] and MOSAIC groups (https://teams.femto-st.fr/MOSAIC/en ) [Micro-Nano Sciences
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of Economics, Hertie School, the Central European Unviersity, and the Romanian National School of Administration. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UAR3611-PEDRAM-005/Candidater.aspx
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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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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 2 months ago
(videoconferencing, loan of computer equipment, etc.) Social, cultural and sports events and activities Access to vocational training Social security coverage Selection process Website for additional job details https
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disciplines and involve expertise in optics, electronics, image and data processing using machine learning, photophysics, chemistry and biology. The position is therefore particularly well suited for candidates
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willing to explore the links between Algorithm Design and Machine Learning Specific Requirements Physical presence is required (remote work impossible) LanguagesFRENCHLevelGood Research
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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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and machine learning applied to data fusion and adapt them to the field of exoplanet characterization. They will develop and maintain the FORMOSA code in coordination with the team of students working