27 phd-in-structural-engineering positions at The Ohio State University in United States
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. or equivalent with background in psychology, neuroscience, computer science, engineering or related fields. At least 2 years of prior technical experience, which could include graduate school. Masters or PhD
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needed. Required Education: PhD in Materials Science and Engineering Desired Education: PhD in Materials Science and Engineering Required Experience: Experience in CALPHAD modeling and phase field
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) the information in your candidate profile as it will transfer to your application. Job Title: Assistant/Associate/Full Professor Enology and Fermentation Science Technology Department: FAES | Food Science and
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well as active grants. Successful applicants should hold a Ph.D. in Biomedical Engineering, Medical Physics, Electrical and Computer Engineering, Computer Science, Bioinformatics, or a related discipline, with
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Ph.D. in Biomedical Engineering, Medical Physics, Electrical and Computer Engineering, Computer Science, Bioinformatics, or a related discipline, with scientific collaboration and research interests in
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give advice to graduate students. The expected start date is July 1, 2024. Required qualifications: PhD in economics or applied economics; a record of journal publication success; experience leading
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; submit research grant proposals; give conference presentations; and give advice to graduate students. The expected start date is July 1, 2024. Required qualifications: PhD in economics or applied economics
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technology innovation, artificial intelligence, and health services research. Department/Division Overview The Department of Radiology is rapidly growing, with expanded services at off-site imaging centers
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expertise in imaging technology innovation, artificial intelligence, and health services research. Department/Division Overview The Department of Radiology is rapidly growing, with expanded services at off
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areas of interest include (i) high-dimensional data; (ii) the foundations of data science; and (iii) complex dependence structures. We interpret each of these areas broadly. High-dimensional data analysis