79 Computer-Science "https:" "https:" Postdoctoral positions at University of Minnesota
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industrial partners through regular progress reports and supporting technology transfer processes where applicable. You will also be expected to participate in preparing, presenting, and discussing data with
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. Protein biochemistry, enzymology, microbiology, ecology, and computational biology will be key to these experiments. Translating some of these findings to physiology via -omics methods and microbiology will
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industrial partners through regular progress reports and supporting technology transfer processes where applicable. You will also be expected to participate in preparing, presenting, and discussing data with
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trained in techniques spanning molecular and cellular biology and rodent models of stroke including immunostaining, qPCR, cell culture, RNA sequencing, and cognitive, mood and motor behavior testing in
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work towards developing aspects of the program clearly identified with them, in which they can assume a programmatic leadership role. Work Arrangement: select one below • The position is expected to work
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of the course. Other duties as assigned. Qualifications Required qualifications Ph.D. in Mechanical Engineering, Aerospace Engineering, Chemical Engineering, Applied Mathematics, Computational Science
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- Experience in RNAseq analysis About the Department Neuroscience is the scientific study of the nervous system. It is an interdisciplinary science that collaborates with other fields such as chemistry, computer science
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focusing on large animals’ health and production, biomedical science, and ecosystem and public health. Our faculty members conduct animal and public-health-focused research to better diagnose, treat, and
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the region decided upon by the leadership of CURA in consultation with program staff, 2) Requests for Proposals that local organizations and agencies offer, and 3) the Associate’s own interests as they relate
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Research (100%) Work closely with Dr. Johnson to implement a federally funded leadership training program designed to utilize implementation science to create and evaluate systems change in schools. Support