47 machine-learning "https:" "https:" "https:" "https:" "https:" positions at The Ohio State University in United States
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. This position reports to the MAE Shops Manager and plays a key role in supporting student learning, hands-on engineering education, and departmental research initiatives. The Machine Shop Supervisor is
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associated faculty position. Performance Objectives The successful candidate will teach the following course: History 3190: Career Development for History Majors This course will be offered online and the
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Discovery Platform, helping with various activities in the facility including machine QC, learning new technologies, conducting flow cytometry experiments, and engaging with clients. Perform other duties as
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. Position Overview Candidates with expertise and interests in predictive modeling, computer vision, natural language processing, generative AI, embodied AI, and/or multimodal learning are encouraged to apply
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months of hire is required. Computer Skills: Requires thorough working knowledge of Microsoft Office applications, TECHSYS and Censitrac tracking and be capable of learning software programs and/or
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, or facilitating workshops for students returning from academic dismissal. Collaborate with the College of Engineering Scholarship Team to facilitate affordability workshops and micro learning activities to help
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responsible for leading and conceptualizing advanced statistical modeling, predictive analytics, projections, forecasting, data mining, mixed-methods research (quantitative and qualitative), machine learning
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of Music at The Ohio State University seeks an Associated Faculty that will teach Applied Horn Music lessons in spring 2026. Must be able to apply written, oral, and visual communication skills and interpret
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trade specific codes, standards and regulations, 5) learn technical skills and apply new knowledge to solve problems, 6) select and use hand, power and machine tools,7) establish and maintain
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), whole brain imaging, computational neuroscience, big data modeling, machine learning and artificial intelligence, will be prioritized. Newly recruited faculty will have the opportunity to be part of a