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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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calculations Materials modeling/electronic structure calculations Machine Learning/Deep Learning techniques. Education and Experience: A PhD in physics, astronomy, or a closely related field must be completed
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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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and build computational interventional models for individuals. Required qualifications: MD or PhD (completed by start of employment) in computer science or behavioral science. A technical background is
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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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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
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. This position is a one-year term appointment, with the possibility of renewal based on performance and funding. Education and Experience: A PhD in ecology, biology, or related field with experience in molecular
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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