46 phd-computational-"FEMTO-ST"-"FEMTO-ST" positions at University of Minnesota Twin Cities
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Number: 369155 Department program administrator responsibilities are a critical to the success and vitality of the Fisheries, Wildlife and Conservation Biology (FWCB) Department at the University
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Number: 369277 Position Overview Position serves as an administrative and operational support staff member for the Education Policy and Leadership program, Administrative Licensure program, Minnesota
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The Data Analytics Program Lead is a temporary, part-time, non-tenured position for our Professional Development and Lifelong Learning Programs. The Program Lead is responsible for aligning the program with
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borrows ideas from brain-computer interface/neural prosthetic technologies. This posting is for a support/cross project role. You will work in collaboration with the labâ™s experimentalists to develop
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%: Other duties related to teaching of a course. This is a blanket posting for the Department of Electrical and Computer Engineering, and not for a specific vacancy. Applicants will compose a pool for future
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appointment type will be based on qualifications and experience. Candidates must have demonstrated ability in teaching and scholarly productivity. The position is open to MDs or PhDs with training in
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Studies. College in the Schools is the University of Minnesota Twin Citiesâ™ concurrent enrollment program that provides high school teachers the opportunity to teach U of M courses and high school students
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the Department of Entomology at the University of Minnesota with 70% teaching and 30% research responsibilities. The Department of Entomology offers a graduate program in Entomology and an undergraduate minor in
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University policy. Responsibilities: Teaching five courses per academic year, including PhD-level courses. Serving as the Committee Chair of Curriculum Revision for the Institute, including: Create new courses
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postdoctoral fellows. Required Qualifications: PhD in High Energy Physics or related field. Strong background in the study of natural phenomena in accelerator- and non-accelerator-based experiments to understand