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will be: * Experimental work on polymer synthesis and characterization * Supervision of interns * Participation in the scientific activities of the laboratory's two teams * Writing scientific articles
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facilities. The researcher will also conduct coupling experiments on cells in partnership with other teams in Nantes, in particular at the TaRGeT laboratory, under the supervision of Mathieu Mével. Where
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Processing Skills required: - Medical computer programming: python, 3D slicer, LCmodel (optional), FSL, spm, ants) - Artificial Intelligence skills and deep learning experience - Proficiency in Tensorflow
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candidate will have the opportunity to collaborate with all the members of the LabCom. The development of the model will rely on the available experimental characterizations of these interfaces and will focus
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experiences in the fields of chromophores or organic electronics would be highly appreciated, but are not mandatory. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR6230-SIMPAS-004
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experimental parameters (time, temperature). To optimize these parameters, active learning techniques based on Bayesian optimization will be applied. In situ or ex situ characterizations (FTIR, ¹¹B/¹H NMR, HP
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shortlists of promising molecules with quantitative estimates and uncertainty ranges; and close iteration with experimental partners to validate predictions and refine models. The position also includes
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. Experience in one/several of the following areas is desirable: clean room manufacturing, measurement of electronic transport in cryogenic conditions, handling of colloidal nanocrystals. You don't have to be
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experiment. Finally, bioinformatics will be used to compare the sequences enriched in each experimental context (topology, addition of chemical modifications, medium composition). The most promising constructs