74 data "https:" "https:" "AMADE research group" Postdoctoral positions at University of Minnesota
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Position Summary: The Jain Lab (https://jain-lab.org/) is recruiting an enthusiastic postdoctoral fellow interested in
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of the Minnesota Robotics Institute , the Minnesota Nano Center , the Characterization Facility , the Center for Magnetic Resonance Research , and the Minnesota Supercomputing Institute . More information about the
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% of eligible tuition Student loan forgiveness opportunity Opportunities for growth and promotion Employee Assistance Program For more information regarding benefits: https://humanresources.umn.edu/sites
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; analyzing and interpreting data; creating publication quality figures summarizing data; assisting with manuscript and grant preparation; maintaining a legible and self-explanatory scientific notebook, and
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for the measurement and analysis of blood pressure, peripheral nerve activity, and renal function in models of hypertension and polycystic kidney disease, and perform related data analysis (generating computerized
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understanding of neuronal cell types and circuits in health and pathophysiology. You will be responsible for key aspects of the project, including data collection, analysis, interpretation, and presentation
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. Emphasis is placed on artificial intelligence/machine learning approaches applied to digital data and multi-omics data. Additional responsibilities include mentoring students, collaborating with faculty
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for Postdoctoral Candidates website for more information regarding benefit eligibility. Competitive wages, paid holidays, and generous time off Continuous learning opportunities through professional training
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for autonomous vehicle control and teleoperation applications. Expertise in the areas of vehicle dynamics, vehicle control, localization, computer vision, sensor fusion and estimation algorithms is desired
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chinensis and Viviparus georgianus Integrate robot-collected density and distribution data with occurrence records from EDDMapS and the USGS Nonindigenous Aquatic Species database Incorporate environmental