70 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral research jobs at The Ohio State University
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. Additionally, the scholar will prepare and disseminate research findings through various publications and perform other assigned tasks. Required Education: PhD in Chemical Engineering or related field Required
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Science and Mass Spectrometry. Post Doctoral Scholars are expected to lead analyses critical to the research program and to take initiative in contributing to the design of experiments involving enhanced
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Postdoctoral Researcher -Discovery and Bioengineered Production of High-Value Plant Natural Products
for publication in peer-reviewed journals, presenting data at conferences, and contributing to the success of the team. Required qualifications: • PhD degree in Plant Biochemistry, Analytical Chemistry, Plant
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| Mechanical and Aerospace Engineering Perform basic research in computational fluid dynamics, including problem setup, simulation and advanced post-processing for multiple projects. Emphasis to be placed
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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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of highly specialized mass spectrometry assays to support immuno-oncology and cancer biology research initiatives, collaborating closely with a multidisciplinary team of computational biologists
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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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to research publications and presentations. Required Qualifications: + PhD in chemistry, chemical biology, biochemistry, or a related field. + Strong background in protein and peptide chemistry
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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