120 Materials Science Postdoctoral research jobs at The Ohio State University in united-state in United States
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Sciences | Chemistry and Biochemistry Administration Highly motivated and enthusiastic candidates are invited to lead projects in the Watkins research laboratory. The Post Doctoral Scholar will bring his
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proactively support colleagues and students Qualifications Applicants should hold a BS degree and Ph.D. degree in Electrical Engineering, Mechanical Engineering, Material Science Engineering or a closely
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. Requirement: Applicants must have a Ph.D. in chemistry or a related field. Expertise in polymer synthesis and characterization is essential. Background experience in radical polymerization and mechanical
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| School Biomed Sci - Biomedical Informatics Post Doctoral Researcher to pursue specialized research training and experience under the guidance of a scientific mentor in the Department of Biomedical
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Sciences | Physics Administration Post Doctoral Scholar position in the Department of Physics in the College of Arts and Sciences. The post doctoral scholar will be responsible for conducting research in
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implementation science, and/or economic evaluation; prepares oral presentations for national and international scientific conferences, workshops, and seminars; writes and submits manuscripts for publication in
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and visualizations of results; assisting with the preparation of research manuscripts for publication; and working closely with interdisciplinary research team from public policy, economics, and
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| Materials Science and Engineering Duties include leading the programming, assembly, and validation of robotic skeletal fixation (e.g., fixation plates and rods) fabrication for Point-of-Care Manufacturing
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| School Biomed Sci - Biomedical Informatics The Department of Biomedical Informatics is seeking a post-doc to start this summer (summer 2024). The successful candidate will receive at least one year of
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Sciences | Evolution Ecology and Organismal Biology The Post Doctoral Scholar will be responsible for (1) evaluating the linkages in the conceptual models using monitoring data (2) forecasting the response