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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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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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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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for the AASPI consortium. This includes developing new algorithms and functionalities, as well as maintaining and improving upon existing ones. This position will also be responsible in consortium member support
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of this position are to: (i) develop novel mathematical/computational algorithms, biogeochemical models, or other mathematical frameworks enhanced by big microbiome data analysis; (ii) design and develop
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a 3-year DOE-sponsored project that started in September 2024. The Postdoctoral Research Associate working on P1 will develop and test deep learning algorithms for model emulation and model parameter
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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