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, antigen presentation and trained immunity) using mouse models that enable CPT1A gain or loss of function. Furthermore, the bioenergetic profile of macrophages both in vitro and ex vivo will be assessed
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, the following non-mandatory skills will be positively considered: have experience in the modelling of the relation between environmental exposures and human health, e.g. distributed lag nonlinear models, spatial
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 2 months ago
(the nation's population is about 400k). An agreement between the Government of Belize and The Nature Conservancy, Belize's Marine Spatial Planning process was launched in October 2022 to reduce public debt by 12
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acquire advanced expertise in navigation models, spatial representation, object representation, and relational knowledge representation, as well as in planning algorithms based on probabilistic models and
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the glycocalyx components. However, the physicochemical characteristics of these interactions and the spatial organisation of the glycocalyx remain poorly understood at the molecular level, as does how they shape
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gaps in our understanding of disease biology and treatment response in Black men. Our project aims to close these gaps by developing cutting-edge induced pluripotent stem cell (iPSC) models that better
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well as in liver regeneration and cancer. Leveraging publicly available spatial datasets, this project aims to develop data-informed computational modelling and systems biology framework to dissect molecular
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exhibit hallmarks of active matter. This PhD project aims to develop theoretical and computational active-matter models of early mouse embryogenesis that couple collective cell mechanics with gene
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-cell sequencing and spatial transcriptomics is preferred. This position will be an excellent opportunity to gain experience performing basic and translational research using patient-derived specimens and
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the spatial reasoning capabilities of multi-mode large language models and hybrid AI systems combining artificial neural networks with symbolic AI. In-house research and development of one of these systems