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number of large, world-leading data sets in astronomy. KIPAC scientists are playing major roles in the construction, operation, and science utilization of the Rubin Observatory’s Legacy Survey of Space and
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one or more of the following areas is a BIG PLUS: data science (machine learning and AI), cancer biology, animal physiology, organic chemistry, E3-ubiquitin biology, and gene editing. In all cases
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of the Rubin US Data Facility, and operation of the Rubin Observatory system; large cosmic surveys including DESI, Euclid, and the Nancy Grace Roman Space Telescope mission; CMB experiments including BICEP/Keck
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Leinweber Institute for Theoretical Physics (LITP). Potential research topics include: inflationary cosmology and its connection to late-time observables; large-scale structure theory and analysis; cosmic
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with computational scientists to integrate and interpret large-scale genomics data. Present research findings in lab meetings, departmental seminars, and conferences; prepare manuscripts and fellowships
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on the application of genomics and other omics data to improve clinical care, with an emphasis on cardiovascular disease and personalized medicine. Dr. Matthew Wheeler's research centers on the integration of large
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, plans, designs, reports, and/or data analysis. Provides supervision overseeing technicians and/or support staff. The Allen Lab (Laboratory of Resilience Biology) in the Department of Developmental Biology
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. Independently manage significant and key aspects of a large study or all aspects of one or more small research studies. Duties include*: Oversee subject recruitment and study enrollment goals. Determine effective
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array of complex financial and regulatory issues. Strong interpersonal skills, problem solving, ability to analyze large data sets, compliance mindset, understanding of applicable regulations and their
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presentations of the University's credit profile to rating agencies, and assist with coordinating bond closings. Research, and synthesize data; interpolate results from large amounts of data, identify trends in