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transcriptomic and genomic data - Perform immunostaining on tumor sections - Functionally coordinate one or more projects involving two people - Mentor a research assistant (ITA) in this project's work The CNRS
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dynamics simulations to understand the growth mechanisms of thin films deposited by magnetron sputtering, with or without ion beam assistance (IBAS), particularly for metallic materials (Ag) and oxides (ZnO
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group and the institute; - assist with the supervision of students when appropriate. The successful candidate will join the Protein Disorder and Cellular Function Laboratory at the Centre de Recherche en
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data) will help validate observations and refine predictive models. Automated monitoring tools (scripts, dashboards, alerts) incorporating machine learning algorithms or statistical methods will be
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a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The postdoctoral researcher will contribute to the development of AI-assisted automated
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on lncRNA structure. These experimental constraints will then be used to guide deep learning-assisted RNA 3D structure prediction tools, in order to generate ensembles of structural models. Clustering and
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vivo manipulation and labelling of endogenous proteins (stereotaxic virus injections). They will analyse the data, help to prepare it for publication in the form of articles, and present the results
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that transition to a ferroelectric-like state when their thickness is reduced to just a few nanometers. While epitaxy can help stabilize the antiferroelectric state, this approach has so far been limited to films
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across different frequency ranges. As part of the OPALE collaborative project – 'Reconfigurable Shutters and Radiating Panels' – between the CNRS (National Centre for Scientific Research) and AID (French
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the conspecific social partner with a robot whose social and cognitive qualities will be manipulated. This should help identify the factors which promote or, conversely, inhibits the emergence