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technologies within our laboratory. - Design and develop processes for synthesizing hollow fiber membranes to meet the specific needs of our research and development projects. - Design and develop processes
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to improve radar performance - Participate in the selection of electronic systems to be tested - Develop injection methods for the selected systems - Characterize the waveforms used for susceptibility test
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. In this project, we aim to develop digital tools combining density functional theory (DFT) and machine learning (ML) to accelerate the in-silico design of solid catalysts for the DA process. - Perform
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University of Strasbourg (UMR7178), is a multidisciplinary laboratory where research teams from different scientific cultures (ecology, physiology and ethology, chemistry and subatomic physics) develop very
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Develop numerical models capable of reproducing laboratory experiments
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of an emerging, yet still largely unexplored, alternative route for their production with the aim of capturing and immobilizing toxic molecules. Objectives Develop and test Metal-Organic Framework (MOF) type
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stress within an epithelial tissue. Characterize transcriptional changes during epithelial morphogenesis. Develop methodologies to link gene expression, systemic factors, and tissue dynamics. Develop
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on the ERC-funded project ‘Understanding the Consequences of Major Health Crises for Education: Learning from the COVID-19 Pandemic (LEARN)’. The LEARN project: Health crises, natural disasters, and violent
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valorization. The candidate will work within a multidisciplinary team, including chemists, physicists, and process engineers, with regular interactions to develop innovative and complementary approaches
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Website https://emploi.cnrs.fr/Offres/CDD/UMR5267-DOMCAI-002/Default.aspx Requirements Research FieldLanguage sciencesEducation LevelPhD or equivalent Research FieldLanguage sciencesEducation LevelPhD