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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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are not fully integrated into the exploration of subsurface exploration workflows due to data resolution limitations and challenges in modeling. This knowledge gap limits our understanding of resource
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cells. Compounds identified through a pharmacological screening approach represent promising therapeutic leads, including in models of bortezomib-resistant cell lines. The project combines a fundamental
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The rapid growth of energy consumption
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use numerical models to interpret and predict mechanical behavior. - Carry out a cross-analysis of experimental, microstructural, and numerical results. - Disseminate scientific results (publications
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investigate out-of-equilibrium dynamics in high-dimensional disordered systems (including models relevant to machine learning and optimization) by characterizing the fixed points (metastable states, attractors
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-fuels. It will involve studying the behavior of methanol synthesis catalysts under varying reaction conditions, proposing an associated kinetic model, and implementing the reaction kinetics into a
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processes used in these channels. He/She will participate in modelling these processes at a global level (flows and organisation) as well as at the product treatment level (analysis of product/operator
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learning, epigenomic data, and mechanistic modelling. The mission is to contribute to the development of predictive models of the replication initiation probability landscape (IPLS) from limited experimental
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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