104 data "https:" "https:" "https:" "https:" "UNIV" "UNIV" research jobs at University of Minnesota
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Previous Job Job Title Data Research Fellow (Rsch Pro 4-Stats Analysis) Next Job Apply for Job Job ID 372420 Location Twin Cities Job Family Research Full/Part Time Full-Time Regular/Temporary
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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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Qualifications: PhD in computational genomics Experience with: • Computational and bioinformatics • Machine learning and statistical modeling • Programming and data infrastructure • Experimental and Field Methods
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Please visit the Office of Student Health Benefits website for more information regarding benefit eligibility. Student workers are eligible to participate in the Student Health Benefit Plan
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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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transportable. A graduate student with a physics background is needed to perform software-assisted design of system components, write and apply computer programs capable of simulating MRI pulse sequences, and to
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. Duties/Responsibilities Assisting with data entry and cleaning. Reporting to the PI/Supervisor as necessary. Literature reviews Environmental scan of web-based resources Assisting with the coordination
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. The research technician will be joining a team of three other people who will work to conduct a health and mortality census of 5,000 trees in the Itasca ForestGEO plot. The technician will work to record data
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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