52 computer-vision-and-machine-learning Postdoctoral positions at The Ohio State University
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: FAES | Horticulture and Crop Science We are seeking a highly motivated Postdoctoral Research Associate with a strong background in bioinformatics and computational biology to join Dr. Yu Ma’s laboratory
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with Dr. Robinson on a research program on Traditional Governance in Africa, which is funded by the Mershon Center. The project evaluates how the history, institutional structures, and political
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and Sciences | Physics Administration Post Doctoral Scholar will carry out a vigorous program of independent research, write papers for refereed publication, travel to conferences and other venues
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of study in the fields of AI/ML, aerodynamics and acoustics, and computational methods. Demonstrated strong written communication skills. Required Experience: N/A Desired Experience: Doctoral degree in
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analysis to explore microbial communities and their functional potential. Apply computational tools and pipelines to analyze large-scale biological datasets. Scientific Communication (20%) Contribute
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analysis to explore microbial communities and their functional potential. Apply computational tools and pipelines to analyze large-scale biological datasets. Scientific Communication (20%) Contribute
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to learn or become more proficient in the techniques in rodent models of lung injury/inflammation, fluorescence imaging, flow cytometry, proteomics, transcriptomics, and standard biochemical/molecular
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supporting documentation via Workday with their application, including: Cover letter describing your research background, fit for the AquOTic program, including comfort in water-based environments, research
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, STEM education, educational psychology, sociology, science, technology, leadership and policy studies, learning sciences, or related field of study; demonstrates ability to tailor complex ideas
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Center Department: Pharmacy | Pharmaceutics and Pharmacology The Pharmacoanalytical Shared Resource (PhASR) seeks a postdoctoral scholar to learn and apply pharmacometrics methodologies in cancer-focused