50 Computer Science Postdoctoral positions at The Ohio State University in United States
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N etwork and Distributed Algorithms A Postdoctoral Scholar position is available in Dr. Anish Aroras Laboratory in the Department of Computer Science and Engineering at The Ohio State University (OSU
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| Computer Science and Engineering Postdoctoral Scholar in Artificial Intelligence (AI) in N etwork and Distributed Algorithms A Postdoctoral Scholar position is available in Dr. Anish Arora’s Laboratory in
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); basic computer skills required. Required Education: PhD in Biomedical Engineering, Surgery, Animal Models or MD Desired Education: MD Required Experience: Human and/or animal model surgery. Sterile
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and expertise in computer science education research (or related area), social science methods and theoretical frameworks. The application should include: ◦ A cover letter, outlining your specific
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goal is to develop flexible tools to better target future conservation reserve program and other habitat investments in ways that maximize pheasant benefits; the proximate goal, and focus
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in determining priorities and planning research programs; carry out engineering related research, makes and records observations and measurements, collects and compiles data for computer input and
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reviewed on an ongoing basis until the position is filled. Required Qualifications: Doctoral degree in economics, public policy and management, public health, or computer/library/information sciences is
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| Materials Science and Engineering Job Description: The College of Engineering, Department of Materials Science and Engineering is seeking a Post Doctoral Scholar to carry out a research program on design of
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| School Biomed Sci - Biomedical Informatics Post Doctoral Scholar – The Ohio State University (OSU) Department of Biomedical Informatics (BMI) and the Pelotonia Institute for Immuno-Oncology (PIIO
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will then conduct program evaluation and academic research on the role of deliberation in political socialization through use of survey research skills, quantitative analysis in R (regression