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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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is the academic heart of the university. The Arts and Sciences provides extraordinary opportunities to collaborate across disciplines, blending creativity and analysis to truly be at the forefront
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; previous experience in more than one of the following: primary human melanocyte culture, inflammatory skin disease, single cell bioinformatic analysis, murine models; and a proven ability to work both
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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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engineering, rehabilitation engineering, or a research doctorate in a related field. Significant experience in biomechanical and musculoskeletal imaging data collection, processing, and analysis. Significant
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conducting qualitative and quantitative research and has requisite qualitative and quantitative data collection, coding, and analysis skills. Experience working with large administrative data sets. Experience
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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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. 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