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this question, the postdoc will combine multidisciplinary research techniques (-omics, Tn-seq, molecular biology and biochemistry). To address this question, the postdoc will combine multidisciplinary research
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solutions for integrating multiple biological modalities and to establish a link between the phenotype observed under the microscope and various molecular measurements of the cell. The methods will be
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Davarzani (BRGM) and Dr. Sophie Sablé (La Rochelle University), as well as a German partner. The project will be conducted within the Molecular and Environmental Microbiology (MEM) team at the Bioscience and
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properties of plasma; - Study the pathophysiological processes induced by RONS in models of liver fibrosis, using molecular and cellular biology approaches; - Analyze the MPTs of proteins subjected to CAP
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are to identify glucocorticoid receptor-dependent molecular and functional changes occurring in microglia upon stress exposure. The post-doctotoral fellow will work full time. He/she will develop the project and
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cellular biology approaches, this project aims to identify the fundamental molecular and physical principles governing lipid homeostasis and organelle dynamics. The project is based on an interdisciplinary
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to profound physiological changes. Despite several decades of study, the molecular signalling between the two partners and, the symbiosis competence properties of the animal cell remain unclear due to the lack
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coordination chemistry and supercritical fluids offers unprecedented opportunities for easily and efficiently synthesising new intercalated and exfoliated materials with optimised properties. - molecular
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ExperienceNone Additional Information Eligibility criteria Experience in mouse experimentation, molecular biology, advanced microscopy techniques, and/or image analysis would be highly valued, but training will be
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combine density functional theory (DFT), molecular simulations, and machine-learning force field (ML-FF) development to uncover the factors controlling NHC–surface interactions and to model realistic