88 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" research jobs at University of Minnesota
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sponsorship. *Duties/responsibilities -performing high level experimental, theoretical, and numerical research and data analysis (55%) -presentation publication, and proposal preparation (20%) -mentoring PhD
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methodologies and supervise data acquisition. Participation in Seminars (5%): You will present findings at monthly lab meetings, give at least one formal seminar per year (either locally or at relevant national
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phenomenology, field theory, astroparticle physics and cosmology. About the Department School of Physics and Astronomy: https://cse.umn.edu/physics Pay and Benefits Pay Range: $61,008 - $65,000; depending
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rodents, and rodent surgeries. They will participate in project conception, data acquisition, analyses and dissemination of work including conference presentations and manuscript publication. They will also
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on education/qualifications/experience Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit eligibility. Competitive wages, paid holidays, and generous time off
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. Essential and Other Functions: 80% Laboratory Research Cell culture, microscopy, immunoblotting, qPCR, cloning, experimental design, data analysis and recording primary data and methods used. 10% Research
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of sonar data systems in Lake Superior using AI software and using weather, maritime, and environmental data to enhance the safety and security of local populations. The postdoctoral fellow will run and
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functional assays. Coordinates, supervises, and assists in data collection. Perform large scale manufacturing of cell therapy products with bioreactors at the bench and contribute to research and development
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biofilm-forming mechanisms, contributing to the understanding of plant disease resistance mechanisms and sustainable biocontrol strategies. The incumbent is expected to take a leadership role in data
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yield. This project will build on recent research and address information gaps related to disease risk and management of tar spot. The selected candidate will be responsible for conducting research