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new thermoelectric materials using data science and machine learning methods applied to materials, based on expert-reviewed experimental data from the literature and public databases (notably
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Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description The Machine Learning for Integrative Genomics team (https
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emulator of sea ice dynamics, trained using high-fidelity numerical simulations, (ii) variational data assimilation methods, and (iii) a simplified representation of physical processes in the atmospheric
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registered at the MIMME Doctoral School (https://mimme.ed.univ-poitiers.fr/ ). Institut Pprime is a dedicated research unit (UPR) of the CNRS. Its scientific activities span a broad spectrum ranging from
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Rigorous, organised and methodical Management and leadership skills Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7107-ANIFOR-019/Default.aspx Work Location(s) Number of offers
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additive manufacturing methods and rapid characterization of both structure and mechanical properties. Key compositions will then be selected and produced using classical metallurgy techniques, enabling a
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ultrasound, Laboratoire d'imagerie Biomedical, LIB , https://www.lib.upmc.fr/ ) and nanoparticle engineering ( PHENIX Laboratory https://phenix.cnrs.fr/ ). The LIB is located in the Centre de Recherche des
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, energetic processes. Approaches are experimental, with a great emphasis on optical methods as well as theoretical, through modeling of reacting flows. The laboratory is thus developing experimental diagnostic
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methods, which make it possible to identify the optimal configuration of a process among a large number of alternatives. The project is funded by the ANR and brings together four complementary partners
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surfactants — such as SDS or TTAB, found in most foaming systems — the surface viscosity is simply too small to be measured with the existing interfacial rheology methods. As part of this project, we aim