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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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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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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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the organization structure of the School of Physics and Astronomy. Job Duties 80% research, analysis, and dissemination of results to the collaboration and the science community; 15% staying abreast of developments
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infant health outcomes at birth Research experience or interest examining midlife mortality Expertise with linkage studies of administrative data, family structured data, nested data Experience analyzing
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function following construction. The project focuses on identifying variables and causal relationships that determine the long-term performance of designed and constructed ponds so that they can be managed
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structure and function, including experience with gene expression analysis • Hands-on experience with mouse models of inflammation, neurodegeneration, or retinal degeneration • Strong written and verbal
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pharmaceuticals to identify which chemical structures are mineralized to fluoride and which lead to formation of persistent fluorinated byproducts. The key tasks will be to run biodegradation experiments with
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Administration Posted Date 06/20/2025 Job Title Design & Construction Owner's Representative II Job ID 368881 Location Twin Cities Department CPM Project Delivery Posted Date 06/20/2025 Job Title Donor Coordinator
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computational modeling of behavior to identify the underlying circuit computations. Current projects in our laboratory emphasize task-structured behavior assays, including set shifting, reversal learning