101 fully-funded-phd-program-computer-science Postdoctoral positions at The Ohio State University
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Sciences | Microbiology Administration The postdoctoral scholar is expected to lead computational/theoretical work in the area of environmental microbiology, and will have the opportunity to contribute
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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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(or a related field), is proficient in both mechanistic modeling and ML frameworks (e.g., TensorFlow, PyTorch), and has strong programming skills (Python/MATLAB/C++). Join us to tackle sustainability
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Quantum Information Science and Engineering (QISE). This prestigious fellowship is hosted by the Center for Quantum Information Science and Engineering (CQISE) at The Ohio State University. The ideal
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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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. Assists with the design and delivery of course materials. Required Education: PhD in Chemical Engineering Desired Experience: Expertise in catalysis, catalyst synthesis, characterization of catalytic
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undertaken. Minimum Required Qualifications: Ph.D. in wildlife management, biology/ecology, ecosystem or environmental science, or a related discipline At least 1 year post-PhD degree with experience
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preparation of grant applications for extramural funding; performs additional duties as assigned. Additional Information: We invite an outstanding candidate with a strong background in molecular biology and/or
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Microbiology, Biomedical Sciences, Bioinformatics, Computational Biology, or a related discipline is required by the start of employment. Experience in conducting microbiome research, including processing
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| Civil Environmental and Geodetic Engineering We invite applications for an exciting opportunity for a postdoctoral research associate position in the domain of digital twin modeling for infrastructures