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to communicate effectively with non-technical people. Advanced analytical and problem-solving skills. Ability to manage multiple, parallel activities and organize time and resources. Critical thinking skills
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://price.ou.edu/mis Qualifications Candidates must have a PhD in MIS or a closely related discipline, or be on track to complete their PhD by May 31, 2026. ABD candidates and faculty in the early stages
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) and/or cloud computing and/or similar areas of computing. Experience working with researchers/scholars. Experience and proficiency with storage systems, especially parallel and/or distributed storage
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our MIS Division, please visit http://price.ou.edu/mis Qualifications Candidates must have an earned PhD in MIS or a closely related discipline and demonstrate a strong record of excellence in research
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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, 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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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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Microscopy Laboratory , Kessler Field Site , Stable Isotope Measurement Facility , and the Mass Spectrometry, Metabolics, and Proteomics Lab Qualifications Required Qualifications · Earned PhD 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