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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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classes in the graduate and undergraduate curricula and/or similar classes, either in an in-person or online modality: ● Quantitative and Psychometric Methods ● Multivariate Statistics ● Measurement
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statistical methods to agronomic research, including mixed models, geospatial statistics, multivariate analysis, and machine learning - Must possess and maintain an active and valid driver’s license Preferred
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Preferred Qualifications: • Demonstrated productivity through first-author and collaborative publications in immunology • Strong background in experimental design, statistical data analysis, and data
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internet connection for duties undertaken remotely. Qualifications Required Qualifications: A PhD degree in Biostatistics, Statistics, Computer Science or a related field who possess STRONG computing
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statistical and computational tools • Present findings at lab meetings and scientific conferences; contribute to collaborative research discussions • Prepare figures, methods, and manuscripts for publication in
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? For preliminary inquiries, you may send your CV to tchekouo@umn.edu Qualifications Required Qualifications: PhD degree in biostatistics, statistics, or a related field Strong computing/programming and communication
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a laboratory notebook; perform statistical analyses of data obtained from experiments and render interpretations of the data. Operations - 20% • Keep the laboratory stocked, maintain inventories
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researcher for a 2-year, collaborative project funded by Minnesota’s LCCMR Program titled "Climate change and management effects on lake methane". The position will be based at the University of Minnesota
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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