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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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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
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of the Bacterial Cell Wall Unit headed by Ivo G. Boneca. This is a collaborative project with the teams of Raquel Mejias-Luque of the Technical University of Munich and of Richard Ferrero of the Monash University
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participates in the “Objectif Employeur Pro-Vélo” program. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR9002-CHABOU-009/Default.aspx Requirements Research FieldBiological sciencesEducation
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postdoctoral fellow will investigate the effects of novel immunotherapies in both in vitro and in vivo inflammatory models. They will contribute to antibody production and perform detailed structural and
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. Research at the IGDR covers a wide range of subjects in cell biology, taking advantage of classical model systems while strongly promoting interdisciplinary approaches, particularly at the interface between
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computational models and machine learning methods, as well as experience in repertoire data analysis. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8023-CLAMAR-001/Default.aspx Work
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of hydrogen storage systems for energy applications. The postdoctoral researcher will contribute to: Development and implementation of advanced multiphysics numerical models Simulation of sorption phenomena and
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analyses from various 2D/3D cell models. He/She will produce and characterise peptides derived from the extracellular matrix. He/She will analyse the results and contribute to their application. He/she will