79 computer-science-graduate-internship Postdoctoral positions at University of Minnesota
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to improve your biocomputing skills through tutorial Qualifications Required Ph.D. in Computational biology, Bioinformatics, Plant breeding/genetics, or related field. Individual may be immediate post-degree
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ability, strong mathematical background, computer programming experience. About the Department Neuroscience is the scientific study of the nervous system. It is an interdisciplinary science that
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with innovative modeling methods and data analytics methods and spur cross-discipline development between the team in both water resources and computer science. Specifically, the research projects
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to lead a project related to the transport of bacteria in porous media and multiphase flow. A PhD degree in engineering or earth science is needed. 75% - Conduct laboratory experiments related
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concepts to device fabrication, measurements, data discussion and analysis. The successful candidate will interact extensively with the PI, graduate and undergraduate students. Job Duties: 35 % experiment
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interdisciplinary exchange, a growing population science training program, and research support services designed to develop and nurture promising areas of new population research. Affiliates of the MPC benefit from
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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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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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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Postdoctoral Associate Job Description School of Dentistry Department of Diagnostic and Biological Sciences PI: Chong Wang
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have a PhD in environmental engineering, earth or environmental engineering, or related fields, with a background in ecohydrology. Experience in ecohydrological modeling and remote sensing is desired