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methods of data analytics (e.g., statistics, stochastic analysis, Bayesian statistical analysis), physically-based hydrology and water quality models, and the use of machine learning tools for modeling flow
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at the intersection of systems neuroscience and computational modeling. Our lab is broadly interested in Bayesian inference, perception, multisensory integration, spatial navigation, sensorimotor loops, embodied
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organizational, quantitative analysis and writing skills are necessary. Candidates with a strong background in molecular virology, next-generation sequencing, Bayesian analysis, phylogenetic analysis, statistical
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and various watershed management districts across the metro) to achieve project research and technology transfer objectives. We seek an energetic scientist committed to conducting research to understand
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project that aims to develop new tools to gauge retinal health and disease using next-generation CRISPR-based tools. The ideal candidate who fills this position will have a consistent track record of
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Required Qualifications: Ph.D. in Plant Pathology, Genetics, Molecular Biology, Plant Biology or other related fields; Prior experience with plant pathogens and/or plant tissue culture; A proven track record
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to research sites in Minnesota with intermittent overnight stays at field stations or similar accommodations Preferred Qualifications: - Promising record of research productivity - Track record of publication
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regional cropping systems Highly self-motivated and strong track record of publication in peer-reviewed journals About the Department The Department of Bioproducts and Biosystems Engineering (bbe.umn.edu) is
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and is home to roughly 1,025 students, 130 tenured/tenure-track and contract faculty, and 450 staff. SPH is a research powerhouse: #1 level of research funding per capita at UMN, #3 largest research
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to identify trends and patterns in disease incidence and prevalence. Contribute meaningfully on reports, papers and publications. Qualifications Required Qualifications PhD from an accredited University Track