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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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on the development of Bayesian statistical/machine learning methods for the data integration analysis of high-throughput imaging and molecular data (i.e., genome, transcriptome, epigenome, and more). The methods would
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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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communicate technical information to scientific and nonscientific audiences - A track record of publishing in peer reviewed journals About the Department The mission of the Department of Soil, Water, and
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-track and contract faculty, and 450 staff. SPH is a research powerhouse: #1 level of research funding per capita at UMN, #3 largest research portfolio at the UMN, #2 NIH funding among UMN schools and
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to professional audiences. Contribute meaningfully on reports, papers and publications. Qualifications Required Qualifications PhD from an accredited University Track record of grant and manuscript submission
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natural products. Strong track record of independent publications. About the Department BMBB: The department of Biochemistry, Molecular Biology and Biophysics is committed to understanding the molecular
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they are compensated. Please add in your program & position-specific information here. Job Duties 50% Plan, develop, and implement innovative and collaborative research objectives for the intermediate wheatgrass
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05/28/2025 Job Title Director of Operations - Track & Field/Cross Country Job ID 368497 Location Twin Cities Department Track & Field Posted Date 05/28/2025 Job Title Farm Animal Attendant (FAA) Job ID