114 parallel-computing-numerical-methods research jobs at University of Minnesota in United States
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, and nonprofit sectors. The incumbent will also (25%) support operations of the Center for Integrative Leadership, including administration of leadership development program outreach, communication, and
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by Dr. Francis X. Shen, JD, PhD. Dr. Shen is a Professor at the University of Minnesota Law School, a member of the Faculty in the UMN Graduate Program in Neuroscience, and Co-Chair of the UMN
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outside Ability to learn to identify plants Valid driver’s license Ability to travel, including occasional overnight camping Preferred Qualifications: Computer literacy including MS Excel or other
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searching for a Postdoctoral Associate with strong research interest in behavioral medicine. The candidate will participate in an active NIH and NSF biobehavioral research program (Director, Mustafa al'Absi
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insurance Employee wellbeing program Financial counseling services Employee Assistance Program with eight sessions of counseling at no cost How To Apply Applications must be submitted online. To be
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pharmacy plans Healthcare and dependent care flexible spending accounts University HSA contributions Disability and life insurance Employee wellbeing program Financial counseling services Employee Assistance
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University HSA contributions Disability and life insurance Employee wellbeing program Financial counseling services Employee Assistance Program with eight sessions of counseling at no cost How To Apply
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cytometry, nucleic acid extraction and quantification, western blotting, ELISA, and next generation sequencing is required. Proficiency with computers is essential as the use of office software, including
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, Karen, Oromo, and Somali. The supervisor for this position is Jacob Oertel, RIDGS Program Coordinator. Appointment Dates ● Fall Semester 2025 appointment dates are August 25 - January 7, 2026 ● Spring
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to their research. Ideal candidates will be expected to employ state-of-the-art computational tools to analyze phylogenetic, metagenomic and multi-omics data sets generated from different clinical trials. Applicants