62 molecular-modeling-or-molecular-dynamic-simulation Postdoctoral positions at University of Minnesota in United States
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, computer vision in the Division of Health Data Science (HDS) at the DOS. The position is an annually renewable professional academic appointment. Duties/Responsibilities: ● Risk predictive model for clinical
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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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neural populations and their application in animal models In the Department of Neurosurgery. There will be opportunities to lead a team of students, contribute to grant writing, engage in professional
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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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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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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
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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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/PyTorch for deep learning), possibly theory development, simulation studies, real data analysis, and writing manuscripts. Duration: This appointment is for 1 year, may be extended for a second and/or third
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and their application in animal models. There will be opportunities to lead a team of students, contribute to grant writing, engage in professional development, and disseminate results at conferences