751 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of Minnesota
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conducting population analyses on swans, geese, or other birds that exhibit deferred reproduction Advanced experience coding in R, including parallel computation using high-performance computing clusters
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, methods, procedures, and work rules for Center administrative staff. ● In coordination with the Executive Committee, ensure Center's strategic plan and mission are executed to achieve Center goals
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transnational critical disability studies curricular program at the University of Minnesota. The position serves as the administrative lead for CDSI, acting as the liaison between CDSI and its University partners
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to design and implement machine learning analyses of the results of evaluations of social and economic programs. The role combines modern machine learning with applied econometrics to estimate program impacts
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of Minnesotans. The Research Investigator will work closely with the CRC team to lead mixed-methods cannabis-related research and dissemination of research findings, including writing scientific articles
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of Minnesotans. The Research Associate will work closely with the CRC team to help lead mixed-methods cannabis-related research and dissemination of research findings, including writing scientific articles
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program needs. Regardless of the typical work arrangement set, this role comes with the requirement to attend numerous on-campus work events and on-site meetings for collaboration and team effectiveness
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equal at least nine years Prior experience with human neuroimaging methods (fMRI, EEG, or MEG). Strong quantitative and computational skills, with a demonstrated interest in data-driven research. Ability
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Previous Job Job Title Computer Science Online Short Term 2025-2026 Teaching Positions - UMC MST Division Next Job Apply for Job Job ID 361518 Location Crookston Job Family Education-General Full
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or outside the University of Minnesota. The research will focus on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine