63 computational-complexity-"Prof"-"Prof" Postdoctoral positions at The Ohio State University
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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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scientific mentor; plans, designs and executes experiments of considerable scope and complexity in the study of the role of innate and adaptive immune system in cardiovascular diseases; collects and analyzes
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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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contribute to mentoring and training activities in the lab. Strong writing, analytical, and communication skills are essential. Applicants must demonstrate a proven ability to complete complex research
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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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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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Postdoctoral Researcher -Discovery and Bioengineered Production of High-Value Plant Natural Products
integrative approaches to take on complex scientific questions. The postdoctoral researcher will be responsible for designing and conducting hypothesis-driven research, preparing original research manuscripts
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Scholars are expected to lead analyses critical to the species delimitation research program and to take initiative in contributing to the design of investigations into little brown bats and other species
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in Dr. Shanlin Ke’s lab. The overarching goal of Dr. Ke’s lab is to develop computational approaches and leveraging bioinformatics tools, metagenomic sequencing, multi-omics data, machine learning, and