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methods of data analytics (e.g., statistics, stochastic analysis, Bayesian statistical analysis), physically-based hydrology and water quality models, and the use of machine learning tools for modeling flow
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. Matthew Winn and his collaborators on topics related to speech perception, hearing impairment, and listening effort. This 6-month PA research position is supported by funding from the National Institutes
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mechanics research lab and educational facility under the College of Science and Engineering at the University of Minnesota. We are engineers and scientists who collaborate across disciplines to solve fluids
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international conferences, and in peer-reviewed journals 10% – Mentor and collaborate with junior lab members, including graduate and undergraduate students 10% – Assist with lab operations, including
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you learned about this program. For information about this position, please contact Dr. Mustafa al’Absi at malabsi@umn.edu The University of Minnesota is an equal opportunity educator and employer
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strategies. Collaboration is a fundamental aspect of this position. You will work closely with a multidisciplinary team of researchers to design, execute, and analyze experiments. As a Postdoctoral Associate
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Preferred Qualifications: • Demonstrated productivity through first-author and collaborative publications in immunology • Strong background in experimental design, statistical data analysis, and data
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-dimensional flow cytometry for immune profiling • Present findings at lab meetings and scientific conferences; contribute to collaborative research discussions • Contribute to manuscript writing and data
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publications Ability to collaborate effectively with people from a variety of communities, backgrounds, and identities. Preferred Qualifications Experience in collaborating as a member of a larger research team
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to: Understand basic principles of brain functioning across development (i.e. figure out how the brain works) Learn about how neuropsychiatric and other brain-based disorders develop and progress over time