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of advanced preclinical in vitro and in vitro models inclucing genetic engineering of T cells to address mechanistic and translational questions relevant to clinical application. Your responsibilities
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work employs genetically engineered mouse models, pharmacologic and surgical perturbations, and longitudinal phenotyping to interrogate disease initiation and progression at cellular, tissue, and systems
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to test and compare strategies safely, calibrate models with real data, and support scenario-based decision-making. • Building data-driven models (e.g., forecasting, clustering/segmentation, learning-based
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Please apply here: https://apply.workable.com/ellison-institute-of-technology/j/91F1A5719B/apply/ Led by a world-class faculty of scientists, technologists, policy makers, economists and
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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: (1) the chemical regulation of nuclear xenobiotic receptors, (2) the mechanism of selective modulation of highly homologous drug-metabolizing enzymes. We are taking a hypothesis-driven and technology
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zebrafish embryos as a model organism with the ambitious aim of establishing clear evidence for extracellular vesicle-driven crosstalk in the brain beyond synapses. Through the project, you will be trained as
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ubiquitylation (http://www.ppu.mrc.ac.uk/). Many world-leading researchers in the field of signal transduction have trained within the MRC PPU. The major aims of the MRC PPU are to advance understanding
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regulation of nuclear xenobiotic receptors, (2) the mechanism of selective modulation of highly homologous drug-metabolizing enzymes. We are taking a hypothesis-driven and technology-enabled multidisciplinary