59 phd-in-computer-vision Postdoctoral positions at University of Minnesota in United States
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. The candidate must have a track record of reliability and good verbal and written communication skills. This is an ideal position for a recent graduate with an PhD, MD/PhD degree in related fields, but not
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with other faculty and collaborators, including, if required traveling to international destinations to meet with collaborators and collect data (10%). Qualifications Required Qualifications: PhD in
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) Qualifications Essential Qualifications PhD in forestry or closely related field such as land resources Preferred Qualifications Have experience with bark beetles, tree defenses, and climate data Have experience
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students on data analysis and detector projects. 40% Instruction of introductory physics lecture section 25% Core reconstruction and simulation software and computing development 15% Construction
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, the University of Minnesota Medical School has three campuses. A four-year MD program and the MD/PhD program are located on the Twin Cities campus in addition to MD programs at regional campuses in Duluth and St
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Routine operational lab duties (20%) -Preparation of buffers, stock solutions, etc as needed for above tasks Qualifications Required Qualifications: PhD in biochemistry 5+ years of experience with in vitro
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(DVM, PhD, or equivalent) degree(s) by start date and should be able to demonstrate experience on pathogenesis, epidemiology, or virology of veterinary pathogens. Candidates with a strong background in
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School has three campuses. A four-year MD program and the MD/PhD program are located on the Twin Cities campus in addition to MD programs at regional campuses in Duluth and St. Cloud. Apply for Job
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Laboratory (TNEL) in the University of Minnesota Department of Psychiatry has an NIH-funded opening for a post-PhD scholar at the intersection of neuroscience, brain stimulation, and behavior. Our laboratory
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.) • Experience with marker-less video tracking and computer vision • Experience with CAD design and 3D printing • Familiarity with relational databases (e.g., SQL) • Demonstrated success in collaborative research