1,795 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of Washington
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and documentation. Demonstrates a general understanding of assay methods and clinical relevance; participates in relevant continuing education. Assists supervisor and lab leadership with other duties
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mechanistic evaluation of heterogeneous catalytic systems for biomass-derived and plastic waste feedstocks. Use in-situ NMR spectroscopy and complementary analytical methods (e.g., GC-MS, GPC, solution and
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parameters negotiates budgets with vendors. Coordinates with numerous departments to establish study specific support plans and to determine the cost. Serves as the single point of contact to facilitate data
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-accredited animal care program. The Animal Resources Program maintains over 200,000 assignable square feet of animal facilities across numerous vivaria throughout the Seattle area and provides care to over
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and geriatric psychiatry, a nationally renowned scientist-practitioner psychology internship program, and numerous post-doctoral clinical and research fellowships. Learn more: https://psychiatry.uw.edu
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Microsoft) to support top-ranked programs at the undergraduate, MBA, MSBA, Ph.D., and executive levels. As a business school, the Foster School is a global thought leader in numerous areas, and the University
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combine computational and experimental approaches to define the transcriptomic and epigenomic programs of human macrophages, compare them with mouse counterparts, and investigate macrophage trafficking and
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for publication or presentation to peers. Solves practical problems relating to difficulties with equipment or test subjects. Suggests technical or procedural improvements in testing methods. Conducts literature
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allergy/immunology conditions and collaborate with numerous specialties including pulmonary, infectious diseases, and hematology/oncology to provide subspecialized care including, but not limited
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machine learning and artificial intelligence methods for engineering. These programs specifically focus on 1) machine learning and AI for engineering systems, including those that are governed by physical