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establish alternative experimental models to animal testing (NAM). The work will be carried out on the INGESYSBIO meta-platform: Engineering of native or reconstructed biological systems (https://bmbi.utc.fr
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characterization of the wireless link (power + sensing) - Design and optimization of sensor-resonator coupling - Participation in in vitro and ex vivo testing We are seeking highly motivated researchers to join our
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to develop three-dimensional scaffolds that reproduce the extracellular environment of the intestine in order to improve preclinical models for drug absorption studies, toxicity testing and cell–matrix
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characterization of materials. • Development and operation of experimental test benches under high-vacuum conditions. • Definition of test protocols, including detailed test procedures and acceptance criteria
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an electrolysis cell. In particular, stability will be assessed using accelerated degradation tests, and the structural and morphological evolution of the catalysts will be monitored via physicochemical techniques
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, tensile testing, etc.) CERMAV fosters a strong interdisciplinary culture, combining expertise in chemistry, physicochemistry, biochemistry, and materials science. The center is internationally recognized in
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resources. The work will be carried out in collaboration with IFPEN. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5256-STELOR-006/Default.aspx Requirements Research FieldChemistryEducation
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l'Environnement (IGE, http://www.ige-grenoble.fr ) is a French public research establishment under the supervision of CNRS Terre & Univers, IRD, Université Grenoble Alpes (UGA), Grenoble-INP and INRAE. It employs
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sites, and potential storage performance. The recruited researcher will develop and test rapid screening strategies for nanoporous carbons, based on structures numerically generated within the team
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, CeRh2Si2, TbB4 etc.) near metamagnetic transitions and unconventional superconducting phases. Within step 1, magnetization probes will be developed, tested and compared before choosing the most optimal