341 molecular-modeling-or-molecular-dynamic-simulation positions at University of Minnesota
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Job Code 0001 Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job Overview: Provides research in transportation network modeling under the supervision of Professor Alireza
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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
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linear model (GLM) and regression approaches to analyze task-based fMRI data and contribute to the development of task-based pipelines using the NiPype environment, FSL, and AFNI. Support the use
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methodologies for industry standard networking equipment - Familiarity with network protocols across the OSI 7-layer model - Ability to collaborate and maintain respectful relationships with faculty, staff, and
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trials. To understand our target circuits and prove that we can change them, we record electrical brain signals and deliver targeted stimulation in both model animal systems and human volunteers, across a
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Word or PDF Format (DO NOT copy and paste.) A cover letter addressing how you meet the qualifications. A curriculum vitae (CV) or resume that details your educational and work experience. To request
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& Pathology, is seeking a Casual Research Assistant with focus on epidemiological research to join our dynamic team. In this role, you will work primarily with Dr. Anna Prizment, PhD, MPH, to support her
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deadlines. Orientation toward continuous learning and process improvement. Preferred Qualifications: Proficient with Microsoft Dynamics GP and/or at least one cloud-based accounting system beyond Quickbooks
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sessions such as creating study plans helping to guide students in developing good habits for success Utilize a gradual release model and focusing on the development of effective learning strategies through