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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 27 days ago
à utiliser l'eau présente dans les sols. Les sols forestiers présentant une forte hétérogénéité, il est très difficile de quantifier la variabilité spatiale et temporelle des stocks d'eau accessibles
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the causal circuits driving the development and the functional specialisation of the largest macrophage population in the body: the liver-resident Kupffer cells. You will next develop Spatial CRISPR screens in
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research program combining advanced molecular biology, single-cell and spatial profiling, and in vivo mouse models to uncover how dynamic cell states drive tumor behavior. Beyond the science itself, this is
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and structures in biomedical image data. Additionally, the candidate will analyze spatial transcriptomic data to evaluate spatial patterns of genes in tissues. They will primarily work on projects
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conduct research in several areas: analysis of high-dimensional data, Bayesian methods, spatial-temporal models, non-Gaussian modeling, applied research in social science, as well as stochastic models and
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Experience with mouse models of Alzheimer’s disease (e.g., 5XFAD). Background in MR1/MAIT cell biology and other innate immune axes. Experience with neuroinflammation assays, imaging, or single‑cell/spatial
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will seek to understand the social conditions under which large-scale changes in norms and behaviours around accessing mobility on demand emerge. Our models will consider factors relating to social
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; support multi‑omics data integration and analysis across multiple research groups; and collaborate on the development and maintenance of computational pipelines for spatially resolved transcriptomics and
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collaborative research environment to analyze unique spatial data in an innovative manner. You will develop and perform cutting-edge bioinformatic analysis integrating different multiplexed spatial data, and gain
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of interactive web-based and/or immersive analytics environments that integrate temporal networks, heterogeneous spatial-temporal data, and AI-driven forecasting and simulation models. These environments will