349 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" "St" Postdoctoral positions in France
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: interferons alpha, lambda, cross-presentation https://institutcochin.fr/projet-6-cellules-dendritiques-contre-vih-int… . The group is expert in studying interactions between human DC and HIV-infected cell
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support machine learning applications for analyzing electron microscopy images of nanoalloys. Model interactions between nanoalloys and carbon substrates to reflect experimental conditions, incorporating
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Postdoctoral Opportunity in Molecular Biology to Model the Progression of Rheumatoid Arthritis (M/F)
regulatory programs that define their biological state. SysFate is currently based at the National Sequencing Center, Genoscope, in the city of Evry, south of Paris, France. Where to apply Website https
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https://emploi.cnrs.fr/Offres/CDD/UMR2959-FRATHI-002/Default.aspx Requirements Research FieldMathematicsEducation LevelPhD or equivalent Research FieldHistoryEducation LevelPhD or equivalent
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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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. 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