54 data-science-phd Postdoctoral positions at The Ohio State University in United States
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: PhD in social science, data science, computer science, information systems, environmental science, ecology, or related field. Demonstrated ability to conduct independent research, as evidenced by peer
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recreational opportunities, excellent schools, and a strong economy based on government as well as service, transportation, and technology industries. Additional information about the Columbus area is available
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the preparation of proposals for new funding. Required Education: PhD in Materials Science and Engineering or a Related Field Additional Information: Location: Fontana Laboratories (1018) Position Type: Term (Fixed
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contributing to grant writing and mentorship of junior colleagues and participation in professional societies. Position requirements: PhD in Physics, Medical Physics, Electrical/Biomedical Engineering or related
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to mentor graduate and undergraduate students within Dr. Donneyong’s research lab. Required Qualifications: A doctoral degree (PhD, ScD) in Pharmacoepidemiology, Epidemiology, Health Economics, Health
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should have demonstrated outstanding performance throughout their previous studies with their own publications. The successful candidate should hold a PhD in biomedical sciences with less than 3 years
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disease (AD). Experience/Education A PhD in biological sciences, or a professional doctorate with experience in biomedical research required; background in vision research or training in ophthalmology is
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; Experience in cellular and RNA biology and animal work is required. Experience in bioinformatics preferred. Additional Information: Location: Pelotonia Research Center (1040) Position Type: Term (Fixed Term
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Department: Medicine | School Biomed Sci - Biomedical Informatics The position of Post Doctoral Scholar in Human-Computer Interaction (HCI) offers an excellent opportunity to conduct research in
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microbiology, immunology, and cell biology research techniques and procedures including microscopy imaging; develops, adopts and implements new laboratory methods; analyzes and interprets data; writes research