55 molecular-modeling-or-molecular-dynamic-simulation Postdoctoral positions at University of Minnesota
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flux measurements using biogeochemical modeling. They will be responsible for managing projects related to field instrumentation and ecosystem flux modeling. 20% designing and implementing trace gas flux
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to computational models • Draft high-quality figures, manuscripts, and grant materials • Present findings at scientific meetings Mentoring and Instruction (5% effort) • Mentor students and foster a dynamic
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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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stratification dynamics. This person in this position will also assist with the development of a model focused on the production of methane by methanogens and degradation by methanotrophs. The postdoctoral
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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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molecular biological-biochemistry techniques, the use of transgenesis and knockout technologies. Pay and Benefits Pay Range: $61,008 - $74,088 depending on education/qualifications/experience and appropriate
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and then model their space use and behavioral patterns. The post-doctoral researcher will also be responsible for coordinating a team to deploy and monitor behavioral playback cameras, developing a data
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in projects related to simulation/mathematical/decision analytical modeling and cost-effectiveness analysis for harm reduction and other interventions aimed at preventing drug overdoses (primary focus
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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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modeling. 80% research - The project focuses on developing theoretical models using optimization and information theory to improve understanding of plant hydraulic regulation at the leaf, plant, and