357 development "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" Postdoctoral positions in France
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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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to the construction of the detector at the LNGS. Data taking should start in 2029. The subject of this postdoctoral position, funded by the CNRS for two years, is to prepare the analysis of the first data in order to
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of avalanches observed by the different sensors. The correlation of data coming from the various sensors during avalanche observations will be used to develop a robust detection method that can be generalized
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provides a dynamic environment for theoretical research and interdisciplinary collaborations within this leading mathematical community. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7598
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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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responsible for developing waterborne dispersion of bio-based polyurethanes (PUD) with properties suitable for the intended applications and characterising the properties of these materials. This will involve
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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
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), led by SNCF. The project aims to develop a methodology and tools for anticipation, spatial optimization, and support of SERMs (Metropolitan Regional Express Services) in French regions. This project is
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heterogeneity, remain poorly understood in skin cancers. Our consortium has recently demonstrated that specific metabolic alterations precede the development of cutaneous squamous cell carcinoma (cSCC). Our
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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