760 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of Minnesota
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the ability to follow written and verbal instructions. Evidence of using a computer and Google workspace, which is the preferred method in sharing data. Must have knowledge of Microsoft Office programs
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techniques, tissue culture, and nucleic acids techniques. Independently design, execute, and troubleshoot experiments from start to finish, optimizing methods as necessary. Propose alternative methods, modify
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MN-ADDM data Identify optimal datasets for population denominators and site-specific analyses Define key constructs and operational definitions Ensure accurate numerator/denominator definitions Prepare
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clinical observerships in a graduate engineering program Proficiency in algorithm design leveraging linear algebraic methods Proven experience applying LEAN methodologies to rapid prototyping in medical
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Job Code 9791ED Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Position Overview The University of Minnesota’s (UMN) Psychological Foundations program seeks a
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to assist in the area of Proteomic sample preparation and administrative assistance. The successful candidate will work closely with the supervisor to coordinate and execute sample preparation, method
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assisting in making staffing decisions. In collaboration with the investigators, adjust the coding scheme and procedures of the data collection, as necessary. This project uses a pre-designed numerical coding
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, utilizing active learning methods, offering constructive feedback, coaching and grading student work, and working with and coaching Teaching Interns. If teaching LEAD 3971, teaching responsibilities also
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participating in this research 10% Maintain familiarity with the latest results and methods in the field, reading relevant papers, organizing and participating in seminars and conferences. 10%: Communicating
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with strong expertise in biostatistical methods and database management to support clinical and laboratory-based research in the field of advanced HIV disease and opportunistic infections. The ideal