253 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at University of Minnesota in United States
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teams of engineers and students. Responsibilities: • Development of pTx optimization strategies for head and body imaging applications on human ultrahigh field MRI systems • Design strategies and
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clinical observerships in a graduate engineering program Proficiency in algorithm design leveraging linear algebraic methods Proven experience applying LEAN methodologies to rapid prototyping in medical
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Volleyball Program in the NCAA and Northern Sun Intercollegiate Conference (NSIC). The position reports to the Athletic Director. Duties: Coaching (50%) • Selection, supervision, and coaching of the team
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detail- oriented. You must be comfortable with using technology such as TeamDynamix (TDX) and Google Suite and excel at both verbal and written communication. Most importantly, the Purchasing Specialist I
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attentive while being detail- oriented. You must be comfortable with using technology such as TeamDynamix (TDX) and Google Suite and excel at both verbal and written communication. Most importantly, a
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Job Code 0001 Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job The Department of Computer Science & Engineering at the University of Minnesota, Twin Cities occasionally
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organization, safety, and protocol management (10%). -Collaborate across multiple interdisciplinary teams within the ATP-Bio Engineering Research Center and affiliated labs (5%). This position is not eligible
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scientific study of the nervous system. It is an interdisciplinary science that collaborates with other fields such as chemistry, computer science, engineering, linguistics, mathematics, medicine and allied
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. This project is co-led by Dr. Lei Feng (Department of Otolaryngology) and Dr. Hubert Lim (Departments of Biomedical Engineering and Otolaryngology), integrating expertise in auditory neuroscience, neural
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the field of synthetic cell engineering is not required; the candidate will be expected to learn the high-level overview of technical challenges and opportunities of this field. - Demonstrated experience in