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Assistant Professor of Electrical and Computer Engineering - Medical Imaging (Tenure Track) University of Oklahoma Norman Campus: Gallogly College of Engineering: School of Electrical and Computer
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Assistant Professor of Electrical and Computer Engineering - High-Performance Computing University of Oklahoma Norman Campus: Gallogly College of Engineering: School of Electrical and Computer
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Preferences: Advanced degree (MBA, MS, PhD) in a technical or business discipline. Familiarity with electronic submission portals (e.g., Grants.gov, NIH ASSIST, NSF Research.gov, DoD DSIP). Strong understanding
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doctoral coursework, with expected PhD completion in May 2026. · Experience in college-level teaching either as a faculty member or graduate teaching assistant. · Scholarly excellence through
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, data mining and machine learning, big data processing and management, parallel programming, computational tool/pipeline development, supercomputing, and/or cloud computing; (iii) Experience in
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bioinformatics analysis to large data sets in the biomedical research field. Equivalency/Substitution: Will accept a Master's degree in a biological science with 48 months of experience OR a PhD in biological
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machine learning) whose core expertise will allow OU to synergistically leverage existing first-principles modeling strengths across GCoE as well as existing strengths in machine learning and data mining in
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Preferences: Master’s or PhD in Sport Science, Physiology, Biomechanics, Data Analytics, or related field Certified Performance & Sport Scientist (CPSS) and / or CSCS certification from NSCA preferred 2+ years
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, Bioinformatics, Computer Science, Mathematics, Statistics, Data Mining, Parallel Programming, Supercomputing, or Cloud Computing. 3) Experience collaborating with diverse and geographically distant teams
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Microscopy Laboratory , Kessler Field Site , Stable Isotope Measurement Facility , and the Mass Spectrometry, Metabolics, and Proteomics Lab Qualifications Required Qualifications · Earned PhD in