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: A recent PhD (or MD) degree in a relevant discipline, such as decision science, health services research, epidemiology, applied mathematics, or industrial engineering. Expected graduation in Spring
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are co-Directors of the CNS Lab, Casey Burrows is the Lab Director of Clinical Training, and Shanna Mliner is the Program Director. Amy Esler, PhD, LP serves as the Clinical Core lead for this work. We are
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conducted virtually through Zoom using the trainer’s personal computer and technology. Training schedules are generally established six months in advance. The University of Minnesota encourages a healthy work
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documentation. Ability to read, interpret, and carefully follow experimental protocols. Basic computer skills (Excel, Word, PowerPoint) with willingness to learn advanced software related to specific research
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documentation in laboratory records and experience with computer software including Microsoft products and NCBI web-based available resources (PubMed) required. Excellent communication, interpersonal and
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Service Employee Status: Fulltime, Exempt Supervisor: Amy Esler, PhD Salary Range: $56,000-$64,000 Position End Date: September 30, 2026 About the Position The Masonic Institute for the Developing Brain
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Integration. Drs. Meghan Swanson and Jed Elison are co-Directors of the CNS Lab, Casey Burrows is the Lab Director of Clinical Training, and Shanna Mliner is the Program Director. Amy Esler, PhD, LP serves as
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the College of Liberal Arts are expected to maintain an active program of scholarly research, to develop and teach undergraduate and graduate courses, mentor and advise undergraduate and graduate students, and
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Chekouo and his collaborators within and outside the University of Minnesota. The research will focus on the development of Bayesian statistical/machine learning methods for the data integration analysis
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temporary or permanent basis for any reason at any time. Qualifications Required Qualifications • Has a PhD in health sciences or a related field • Led nutrition-related projects • Expertise in data