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, France to complete the project. Objectives The objective of this PhD project is to develop advanced numerical modelling tools to support the digital twins of refractory materials, with the aim
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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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to oxidative abiotic stress in the model plant Arabidopsis thaliana. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7265-JULORD-014/Default.aspx Requirements Research FieldBiological
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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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generation, targeted atomistic simulations, structural descriptor extraction, and predictive models. The work will aim to establish links between local pore geometry, structural disorder, sodium adsorption
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, free from the imperfections of the resistive model and well-suited for NIS. We are seeking a Ph.D. student passionate about materials science, microelectronics, and artificial intelligence to develop