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log files, applying advanced statistical methods. Utilize supercomputing platforms or high-performance computing environments for large-scale data analysis. Design and analyze survey research
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modeling: integration of AI with physical models to improve forecasting of climate, hydrology, and atmospheric dynamics. Questions about this position may be directed at: Joachim Moortgat, moortgat.1@osu.edu
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computing environments used in high-throughput biological research, genomics, imaging, and patient data analytics. Operating within a dynamic, multi-disciplinary cancer research ecosystem, this position
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of Internal Medicine/College of Medicine. The research program will study components of the human lung mucosa, in particular alveolar lining fluid components (surfactant proteins and lipids, hydrolases
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, postdocs, and staff use of specialized equipment Direct, oversee and authorize day-to-day purchases and maintenance; negotiate pricing with external vendors for lab equipment and supplies Manage compliance
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of Institutional Review Board (IRB, Board) member activities; understands and applies basic concepts of federal regulations, state laws, and human research protection program policies to ensure compliance with
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multiple funding streams (State, POM, General Fund, etc.). Support the deferred maintenance program by advising on infrastructure risk, prioritization, and investment strategy. Lead the estimating and cost
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Technologies Semester Lecturer to teach: ENGTECH 2612T Fundamentals of Fluid Power and Components, 3 cr. (2 lec. and 1 2-hr lab); ENGTECH 2613T Electrohydraulics and System Design, 3 cr. ( 2 lec. 1 2-hr lab
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) the information in your candidate profile as it will transfer to your application. Job Title: Research Faculty - Computational Psychiatry - Open Rank and Track Department: Medicine | Psychiatry The Ohio State
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admissions, enrollment management, and scholarship-related programming and activities. This dynamic role includes managing admissions efforts for multiple graduate programs, coordinating on-campus and virtual