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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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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
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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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-activated immunogenicity, scaled-up vector production, and assessment of AAV efficacy in pre-clinical animal models. The goal of our research is to ensure advancement of gene therapy treatment for patients
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analysis of data including measures of pupil dilation, microsaccades, and behavioral measures of speech perception. Experience with data collection and statistical modeling of time-series data are essential
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Dr. Shen Cheng and his internal/external collaborators. The research will primarily focus on implementing and developing innovative pharmacometric modeling approaches for pharmacokinetic
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teaching methods to science or mathematics teaching at the college level • Masters in a science (e.g., biology, chemistry, chemical engineering, physics) or mathematics field or equivalent • Experience with
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The Department of Bioproducts and Biosystems Engineering at University of Minnesota, Twin Cities, has an opening for a full
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well as pathogen transmission from the hunting, butchery and consumption of wild meat. Responsibilities will include: ● Leading hypothesis-driven molecular biology research studying wildlife (as well as aquatic
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neuroplasticity using rodent models. Concurrent research lines exploring the intersection of sex hormone signaling and respiratory neuroplasticity in aging, spinal cord injury, and stress models offer multiple