103 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "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 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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: • Computational and bioinformatics • Machine learning and statistical modeling • Programming and data infrastructure • Experimental and Field Methods Pay and Benefits Pay Range: $34.70/hr; depending on education
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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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. 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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, self-motivated employee at our Snyder Hall site to work in the UMGC's Innovation Lab (http://genomics.umn.edu/research-innovation.php). The successful candidate will help to conduct experiments under
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, tumorsphere assays). Be able to acquire, analyze, interpret, and organize data and document research experiments and protocols. (50%) Maintain written and graphical summaries of methods, results, and
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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