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meters. These instruments produce large amounts of data that require several processing steps before the relevant physical variables are obtained. Typically, machine learning methods are used to optimize
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criteria. The doctoral work will be primarily experimental: synthesis, thermomechanical processing, characterizations (XRD, SEM, EBSD, TEM, etc.), and mechanical testing. The recruited candidate will be
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, L. Estel, Analysis of thermal runaway events in French chemical industry, Journal of Loss Prevention in the Process Industries, 62 (2019) 103938. https://doi.org/10.1016/j.jlp.2019.103938 2. Y. Wang
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carriers such as hydrogen (H₂) are major challenges in the energy transition. Current gas capture and separation processes mainly rely on solid porous materials (zeolites, MOFs, activated carbons) or liquid
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realistic membrane environment in multiple redox states, in order to evaluate the thermodynamics of the process. We now intend to further our understanding of how this cytochrome functions by studying
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well as strong skills in linear algebra and signal processing. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UPR3346-NADMAA-158/Default.aspx Work Location(s) Number of offers
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al. 2019] and point-force Lagrangian models, with advanced post-processings [Vegad2024]. This work will be carried out with the YALES2 high-performance platform. Where to apply Website https
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) - Signal processing and image analysis (Python) - Oral presentation of scientific results at meetings and international conferences. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5295
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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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objective will be to determine whether such exposure generates toxic effects and/or triggers the epithelial-to-mesenchymal transition (EMT), a process by which sedentary epithelial cells acquire invasive