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marine sediment. The samples (6) have previously been consolidated in one-dimensional uniaxial strain conditions and are available in-house for further experimentation. This project is a component of an
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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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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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in life cycle analysis for separation science are required. Desired: Research interest in statistical data analysis is desired. Strong software skills in Excel and Minitab or other statistical
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researchers to be productive in research and establish academic careers. The Post Doctoral Scholar will work closely with the PI and a doctoral student. The research team will try a mixed method analysis by
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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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. The research involves the development of practical and computationally efficient methods for adapting and fitting models from survival analysis to infectious disease transmission data and other data, including
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, single-cell analysis, and computational oncology. Directed by Dr. Anjun Ma in the Department of Biomedical Informatics at The Ohio State University, the MathematiX, TRanslational bioInformatiX, and omiX
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Upgrade for the high luminosity running of the LHC and searching for Beyond the Standard Model physics using effective field theory. The Post Doctoral Scholar will take a leading role in analysis of Run 2
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element analyses. Desired Qualifications The position will require strong written and oral communication skills. Applicants must also be able to demonstrate the ability to work independently, collaborate