1,322 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of Utah
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assess training needs, select appropriate training programs and delivery methods (e.g., instructor led, web demos, video conferences, workshops) for programs on a variety of topics (e.g., new employee
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-based vectors), transfection and transduction methods, and flow cytometry. Familiarity with biosafety level 2 (BSL-2) practices is also required. Previous experience is CRISPR/Cas9 editing will be
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related to event set-up and conversions, typical methods and techniques for cleaning and maintaining the equipment and proper use and care of hand power tools. • Maintain an effective working relationship
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). • The administrative matters regarding day-to-day operations and procedures for university department. • Maintains Tuition Benefit Program (working with faculty & students, implement and keep up with requirements
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interdisciplinary program in Health Psychology and multiple faculty with expertise in advanced quantitative methods. The department promotes multidisciplinary collaboration outside of the Department of Psychology
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that encourages employees to embrace innovative service delivery methods to best meet the needs of our students. As a result, students have the opportunity to participate in the creation of campus culture
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learning from community experts. Through these services, CCET facilitates collaborations between researchers and community members to develop community-engaged research methods, instruments, and educational
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the potential ability to perform the essential functions of the job as outlined in the position description. Preferences Strong problem solving and analytical skills. Proficient in computer software applications
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broaden research within the associated program or department. Responsibilities 1. Oversees/conducts statistical analyses, employing methods of descriptive statistics, sample comparisons, regression analysis
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, Computer Science or Data Science. Master of Science Degree or PhD in Biostatistics, Bioinformatics, Computer Science and/or Life Sciences strongly preferred. Previous experience with advanced analytic methods, data