54 modal-analysis-machine-learning Postdoctoral positions at The Ohio State University
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engineering, materials science and engineering, or computer science and engineering. The postdoctoral fellow is expected to actively work with more than one CQISE faculty member at OSU to strengthen
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turbulent fluid simulations on supercomputers and postprocessing the data with system identification, modal decompositions, transitional and turbulent flow dynamics, and computational methods; Strong written
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analysis, zebrafish, or genetics is preferred. Create a Job Match for Similar Jobs Logo About The Ohio State University Join Ohio State’s community.Together, we’ll create meaningful impact at a scale few
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Postdoctoral Affairs. Ohio State offers a comprehensive benefits package. Please visit https://hr.osu.edu/benefits/ to learn more. Successful candidates must have obtained a PhD prior to starting the position
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development. Key Responsibilities: Research (80%) Conduct advanced research in protein characterization and bioinformatics. Perform metagenomic analysis to explore microbial communities and their functional
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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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
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learning outcomes and instructional practices. The position supports a collaborative research initiative led by faculty and staff from the College of Arts and Sciences and the College of Education and Human
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the analysis and interpretation of research data; responsible for the extraction, analysis and presentation of research data; coordinate the analysis of research findings and prepare detailed summaries
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the implementation of machine learning/AI methods for studying complex human diseases, such as glaucoma and retinal diseases. The candidate will have the opportunity to lead research projects, write