393 machine-learning "https:" "https:" "https:" "https:" "https:" "Dana Farber Cancer Institute" positions at CNRS
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tax monthly), with 75% of public transportation costs covered by the employer and 44 days of paid leave per year. Within the framework of the PEPR B-BEST program (https://www.pepr-bioproductions.fr
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contingent upon prior authorization from the competent authority of the Ministry of Higher Education and Research. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8181-ANDKHO-014/Default.aspx
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benefit from CNRS employee benefits (meals, vacation, and RTT, etc.). Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UPR9002-FRAMAR-009/Default.aspx Requirements Research FieldChemistryEducation
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environment (Physics, Biology, Engineering). Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7288-AUDBAR-077/Default.aspx Requirements Research FieldBiological sciencesEducation LevelPhD
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Postdoctoral position (M/F) on impedance and dielectric study of solid/solid interfaces in batteries
resistances. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8182-SYLFRA-001/Default.aspx Requirements Research FieldChemistryEducation LevelPhD or equivalent Research FieldPhysicsEducation LevelPhD
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e.g., ultra-cold gases of bosonic or fermionic atoms, machine learning technologies and quantum computing. At the same time, we work in close connection with IJCLab experimentalists, particularly
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https://emploi.cnrs.fr/Offres/Doctorant/UMR8523-ARNMUS-007/Default.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research
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new thermoelectric materials using data science and machine learning methods applied to materials, based on expert-reviewed experimental data from the literature and public databases (notably
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. In this project, we aim to develop digital tools combining density functional theory (DFT) and machine learning (ML) to accelerate the in-silico design of solid catalysts for the DA process. - Perform
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objective will be to determine whether such exposure generates toxic effects and/or triggers the epithelial-to-mesenchymal transition (EMT), a process by which sedentary epithelial cells acquire invasive