82 parallel-computing-numerical-methods-"Multiple" Postdoctoral positions at The Ohio State University
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The College of Education and Human Ecologys Center on Education and Training for Employment (CETE) Post-Doctoral Scholar will support the centers new research and development program in Artificial Intelligence
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groups. The successful candidate will play a central role in developing, implementing, and evaluating nutrition-focused methodologies across multiple projects. Key responsibilities include designing
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links and good communication skills with other members in group/core scientific staff in related program areas to gain exposure to, and build knowledge of experimental research activities and approaches
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interviews and video research), quantitative (survey development, descriptive/inferential statistics, application of Classical Test Theory or Item Response Theory, etc.), and/or mixed-methods (e.g., convergent
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. The Post Doctoral Scholar will embark on a program of independent research with the primary goal to refine a method for microbial and viral sample enrichment from corals. Duties will include conducting
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| College Administration We are seeking a highly motivated postdoctoral researcher to join an interdisciplinary collaboration between Dr. Yuan Xue (Department of Biomedical Informatics) and Dr. Andréa
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development program in “Artificial Intelligence in Education & Training.” This position reports to the director of CETE and is intended to expand the center’s capacity in the field of Artificial Intelligence
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Sciences | Psychology The Clinical Neuroscience Lab is directed by Dr. Ruchika Prakash. The laboratory is funded by the National Institute on Aging and the National Multiple Sclerosis Society to conduct mind
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Response Theory, etc.), and/or mixed-methods (e.g., convergent and exploratory) projects. Duties will include collecting, analyzing, and evaluating data; presenting results at conferences/workshops; writing
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; develop collaborative links and good communication skills with other members in group/core scientific staff in related program areas to gain exposure to, and build knowledge of experimental research