330 web-developer "https:" "https:" "https:" "Fraunhofer Gesellschaft" Postdoctoral research jobs in France
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responsibility of developing predictive tools based on machine learning for the analysis and interpretation of Raman vibrational spectra applied to battery materials. The successful candidate will design and
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The tasks of the position are as follows: 1) Development, characterization
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compositions (carbon, metal alloys, oxides, clays, polymers). The laboratory develops and characterizes these materials, seeking to understand and control their architecture (structure, organization
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and the endoplasmic reticulum. The project will combine approaches in cell biology, biochemistry, and advanced imaging. The candidate will contribute to the development and optimization of experimental
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authentic data and the use of artificial intelligence techniques, with the long-term objective of developing automatic recognition and generation systems to animate avatars. The linguistic component, led by
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of understanding cirrus clouds in climate studies. We are seeking postdoctoral researchers to contribute to our mission of advancing knowledge on how aerosols influence cirrus formation and their evolution, under
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Marseille in collaboration with Frédéric Lavigne from the University of Nice - Côte d'Azur. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7077-ARNREY-006/Default.aspx Requirements Research
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The candidate will develop numerical procedures in
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space with dedicated culture rooms for human organoids. English is the working language for lab meetings, seminars, and daily communication. Professional Development & Support Integration within an ERC
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models are deeply rooted in real-world biological data. The collaborative approach allows for the development of predictive models that bridge the gap between theory and experiment, with a focus on high