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. This is a term position; length of the term will be discussed during the interview process. Continuation past the term length discussed will be based on university need, performance, and/or availability
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of physics beyond the Standard Model, using analytical and computational approaches. The successful applicant will join Dr. Carlos Blanco's research group with significant academic freedom to pursue
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in statistical network modeling, with applications in health and social science data. The scholar will have an opportunity to collaborate with other researchers, and mentor graduate and undergraduate
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) develop and apply statistical genomic methods to analyze multi-omics datasets for understanding complex disease etiology and (2) develop and apply novel statistical models to analyze EHR data
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must be ready to conduct research involving the design of novel behavioral interventions, conduct human studies, and build computational models to implement existing behavioral paradigms such as Just In
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of mammalian brains using mice as an animal model. Three main lines of research include 1) the brain-wide mapping of brain cell types including GABAergic neurons, glia, and cerebrovascular network, 2) anatomical
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function. We utilize a variety of approaches including biochemical, proteomic, genomic, genome editing, and mouse modeling to study these questions. Here are representative recent publications from the lab
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cell transformation and tumor progression. We integrate cutting-edge molecular, cellular, and biochemical approaches in combination with mouse tumorigenesis models to find molecular targets and
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pancreatic cancer cells is able to regulate cysteine metabolism to promote pancreatic cancer progression. Biochemistry, cell biology, genetically engineered mouse models and patient-derived organoids
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approaches for important questions in neuroscience. We have multiple current and incoming NIH projects to establish cellular cell type architecture maps of mammalian brains using mice as an animal model. Three