207 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at University of Minnesota
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time off Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program Low-cost medical, dental, and pharmacy plans
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applications and study-related documentation Familiarity with technology like smartphones and tablets, including installing apps on devices Access to reliable personal transportation and willingness to travel
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Job Code 8222FG Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job POSITION OVERVIEW This position is part of the College of Science and Engineering Shared Services Team
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opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program Low-cost medical, dental, and pharmacy plans Healthcare and dependent care flexible
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/computer engineering, materials science, physics, or closely related); PhD strongly preferred. Eight years relevant experience with 5+ years leading government-facing microelectronics R&D (DoD/NIST/Service
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. This position does not offer a STEM OPT training program. The University of Minnesota is committed to fostering local talent through employment opportunities. While this position utilizes a hybrid work modality
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.), and Master of Geographic Information Science (MGIS). In total, over 600 students are active in GES. Appointment Details This is a 100%-time, Annual Renewable, Academic and Professional (P&A) position
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UMR to ensure strategic coordination of development, internship, academic program, community event, and other types of collaborative activities with key partners. Navigate complex relationships and
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, Technology, Engineering, and Mathematics) domains and reading: scientific reasoning, technologies that support learning, mathematical problem solving, reading, and language comprehension. Quantitative Methods
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) • Expertise in studies involving intracranial glioblastoma xenograft models, genetically engineered murine glioblastoma models and patient-derived glioblastoma ex vivo models • Expertise in studies involving