18 phd-in-computer-vision-and-machine-learning Postdoctoral positions at University of Utah
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Open Date 10/31/2025 Requisition Number PRN43468B Job Title Software Researchers Working Title Software Researcher I through III Career Progression Track P00 Track Level FLSA Code Computer Employee
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at the University of Utah invites applications for one a 1-year post-doctoral researcher for interdisciplinary work spanning machine learning, applied mathematics, computer science, and material sciences, with a
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comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job. Minimum Qualifications Preferences The successful candidate should have a PhD and/or MD titles
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biology approaches. We are looking for candidates who are excited to develop an independent research program within this framework. Several exciting projects are available, including: Identifying mechanisms
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Compiles data from a variety of sources including interviews, literature sources, and medical and genealogical records; enters information into the department’s computer system. Assists PI’s, Research
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, spectrophotometric assays, drug binding assays) Ion channel biology/electrophysiology Novel computational approaches (imaging analysis, protein design, etc.) If projects involve mouse models, then help supervise
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mentorship for a pathway to independence and opportunities for career advancement. The ideal candidate will have a PhD in computer science or related field utilizing computer science methods, strong expertise
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advancement. The ideal candidate will have a PhD in computer science or related field utilizing computer science methods, strong expertise in medical image processing, registration and analysis and a long-term
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and collaborative discussions. Ensure compliance with IRB protocols and data security standards. Minimum Qualifications PhD in Epidemiology, Nutrition, Public Health or related field. Experience in
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and collaborative discussions. Ensure compliance with IRB protocols and data security standards. Minimum Qualifications · PhD in Epidemiology, Nutrition, Public Health or related field