228 machine-learning "https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" research jobs at CNRS in France
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of the project MESSENGER: « Can rock-powered Microbial EcoSyStEms provide valuable iNsiGhts into early life and its emERgence? » funded by the PEPR ORIGINS (https://pepr-origins.fr/en/ ) and integration
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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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. 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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aegypti). It comprises 60 staff members across 6 research teams. https://ibmc.cnrs.fr/laboratoire/m3i/ The Institute is easily accessible by bus and tram. The CNRS contributes towards the cost of private
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). - Familiarity with machine learning principles and generative/classification models (PyTorch Lightning, torch, scikit-learn, etc.), as well as data/model analysis methods (PCA, t-SNE, etc.). - Proficiency in
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impact measurements, AFM imaging, and AFM-SECM experiments. The SEEAFM project will be developed within the Electrochemistry group of the IMF team at the CEISAM laboratory. Where to apply Website https
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to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7327-MARROU0-077/Default.aspx Requirements Research FieldGeosciencesEducation LevelPhD or equivalent Research FieldAstronomyEducation LevelPhD
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located in an innovative environment, at the cutting edge of future technologies, in strategic application sectors. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5270-SYLGON-070/Default.aspx
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postdoctoral students. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR9001-FABOEH-006/Default.aspx Requirements Research FieldMathematicsEducation LevelPhD or equivalent Research
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will involve measurements at synchrotron radiation facilities and visits to collaborating research groups. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7265-JULORD-012/Default.aspx