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this will be addressed using advanced NMR methods. and integrative modelling, providing real- insights into conformational changes governing CB1R selectivity. This project offers the opportunity
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Interglacial (approximately 127,000 years ago) and the Last Glacial Maximum (approximately 20,000 years ago), as part of the Paleoclimate Modelling Intercomparison Project (PMIP, https://pmip.lsce.ipsl.fr
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The successful candidate will join the Climate Physics team at ENS de Lyon (https://climatephysics-ensl.fr/ ), which currently consists of 5 permanent researchers, 7 PhD students and 2 postdoctoral researchers. We
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predictive digital twin of the face to better understand, model, and rehabilitate facial expressions. The project is led by the BMBI laboratory (UTC-CNRS) and brings together a multidisciplinary consortium
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, and computational biology. The project includes collaborations with academic partners specialized in probabilistic modeling and experimental biophysics, notably through interactions with research groups
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and experimental models to study metabolic communication in GBM invasion. In this context, spatial transcriptomics and mass spectrometry imaging provide tissue-level maps of tumour–microenvironment
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requirements for training data, memory, and computing power while maintaining a high level of accuracy. Particular attention will be paid to the explainability and embedding of the models to facilitate
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | about 2 months ago
benefit from the hardware and software resources of the lab experimental platform. The student will be supervisedthroughoutthePhD by Margot Vulliez and David Daney, researchers specializing in modeling and
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to the development of energy models; • to access complementary experimental platforms; • to strengthen Franco-Canadian scientific collaborations. The project also benefits from industrial support through
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model of magmatic oceans on forming planets based on laboratory experiments. At present, high-pressure molten silicates are modelled only in a rudimentary manner, due to a lack of data on activity