340 molecular-modeling-or-molecular-dynamic-simulation positions at University of Minnesota
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health and disease, using electrophysiology, optogenetics, transgenic animals, and mouse models. The candidate will advance work by creating and modifying custom software for data collection and analysis
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, altered precipitation patterns, and increased temperatures. Another large scale project is the Big Biodiversity experiment that studies how plant diversity affects the rates, dynamics, and stability
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of Minnesota offers a dynamic environment where your expertise can contribute to advancing the reputation of one of America’s leading research universities. This is a hybrid position with occasional in-office
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comparative pathology and animal models of aging, and exposure to research on the biology of aging and at the interface of aging with cancer. After completion of the residency program, qualified individuals
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Letters and Attachments" section. Please attach the following documents in Word or PDF Format (DO NOT copy and paste.) Resume. Cover Letter (identify cover letter with (UL482). To request an accommodation
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recent alumni engagement eff orts, with a special focus on bridging the transition from campus to lifelong alumni connection. In this dynamic role, you’ll design and deliver meaningful programs, events
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-starter, able to work independently in a dynamic team environment that requires flexibility and excellent problem solving skills. About the Department CUHCC serves nearly 11,000 patients a year through over
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of computer analysis and simulation code in support of space physics research. 65% Assisting with space physics research, including implementing, testing, editing and running data analysis and simulation code
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. Preferred Qualifications At least one year of research experience in a neuroscience or psychology laboratory. Experience with animal behavioral experiments and/or drug injections in animal models. Familiarity
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Job Code 0001 Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job Overview: Provides research in transportation network modeling under the supervision of Professor Alireza