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- Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO
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and process behavioral and electrophysiological data • Model behavior based on diffusion models and make explicit link with neurophysiological data • Conduct detailled statistical analysis • Write
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Infrastructure? No Offer Description The postdoctoral researcher will contribute to the ANR-funded Pi-CANTHERM project, which aims to design, model, and predict the performance of new n‑type organic thermoelectric
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dozen input variables). The foreseen approach would be to build on recent developments in using CNNs for Species Distribution Models (e.g. Deneu et al 2021, Morand et al 2024) to summarise the complex
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waste silicone-based materials back to chlorosilanes. The direct cleavage of Si-O bond to form back Si-Cl is however very challenging. An indirect pathway has been elegantly discovered using BCl3 as an
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identical conditions, using Trichloroethylene (TCE) taken as a model molecule. In addition to physical measures, a methodology based on the analysis, in solution, of TCE and its degradation by-products will
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results and absence of an explanatory condition) taken as a model of medically unexplained symptoms in adulthood. Analyses will be conducted using data from the French CONSTANCES population-based cohort
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research teams from different scientific cultures (ecology, physiology and ethology, chemistry and subatomic physics) develop very high level programs based on scientific instrumentation. The IPHC is
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Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | 4 days ago
precision and treatment decisions. Within a collaborative project involving researchers, clinicians, and industry partners, the team has developed innovative deep learning–based segmentation methods and built
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and localization of a potential fault using the Matched Field Processing (MFP) method, based on the reconstruction of a response model of the inspected structure from the modal parameters predicted by
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biology OR virology A solid background in virology, transcriptomics and imaging Hands-on experience with experimental animal and/or iPSCs models Technical expertise in working in BSL-3 environment A