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:this project pioneers a new paradigm of General Genome Interpretation (GenGI) models by combining DNA Large Language Models (DLLMs) with Deep Neural Networks to predict human phenotypes directly from Whole Exome
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samples from mouse models orcell lines. - Provide assistance or collaborate with team members depending on yourexpertise. Where to apply E-mail michael.sebbagh@inserm.fr Requirements Research
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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
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models, flow cytometry, confocal microscopy and unbiased approaches such as single cells transcriptomics, spatial transcriptomics and epigenetics to characterize molecular and cellular mechanisms. Using
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entanglement. - Theoretical and Analytical Studies: Conduct theoretical and numerical analyses of superradiant molecular ensemble models, with thorough documentation of processes and results. - Simulation Code
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the metabolic properties of osteoclasts during development and aging using preclinical models with targeted alterations in specific metabolic pathways. - To implement single-cell biology approaches and
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responsible for a research project aimed at understanding how macrophages and their tissue niches influence homeostasis and tissue repair in vivo, using original and innovative models. The position is based
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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 Molecular Imaging and Theranostic
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regionalization and lamination of the human cortex and their deregulation in disease using different in vitro models derived from human pluripotent stem cells. The successful candidate will be in charge of
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of extracellular vesicles - Modeling and AI for image analysis The new multidisciplinary unit NABI (Nanomedicine, Extracellular Biology, Integratome and Health Innovations), located on the Saint Germain Campus