979 parallel-and-distributed-computing-"U"-"Washington-University-in-St" positions at University of Minnesota
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job This position includes duties related to molecular biology, data analytics and manuscript development within a computational
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, clinical informatics, behavioral medicine, and human sexuality— and offer continuing medical education opportunities. We are regularly among the top National Institutes of Health-funded family medicine
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development, and disseminate results at conferences. This position will work Monday-Friday with weekends as needed. Expected distribution of duties includes: ● 75%: Laboratory benchwork ● 25%: Data analysis
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professional training Medical, dental, and pharmacy plans Healthcare and dependent care flexible spending accounts University HSA contributions Disability and life insurance Employee wellbeing program Financial
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Leadership Program (TBLP) is seeking a part-time TBLP Program Coordinator. TBLP is a cohort-based, spring-semester leadership development program. The small cohort meets weekly to identify and nurture
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guidance to more than 135 Program Directors, 70 Program Administrators, 10 Education Managers, and additional staff across the medical school’s 18 clinical departments. It requires a broad understanding of
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, condensate pumps, compressors, water softeners, and other equipment in the Heating Plant and throughout the Campus. Test/treat boiler water and condensate. Monitor outlying boilers and equipment using computer
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with Freezing of Gait. This positions is temporary (1 year), with the possibility of extension. 50% Research Coordination: ●Assist running computers for electroencephalography (EEG) and electromyography
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opportunities, dynamic international education programs, and to a vibrant network of businesses throughout the state and beyond. The Master of Business Taxation (MBT) program seeks a Reader to assist with grading
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, and publication of major results from the experiment. They will also lead the development of predictive distribution models that incorporate data from the experiment. The project is funded by the USGS C