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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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high-performance numerical experiments, analyze data, and communicate your findings through journal publications and conference presentations. The ideal candidate holds a Ph.D. in Chemical Engineering
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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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high-performance numerical experiments, analyze data, and communicate your findings through journal publications and conference presentations. The ideal candidate holds a Ph.D. in Chemical Engineering
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“exceptional” – the highest rating provided – following a review of the OSUCCC-James’ application for redesignation as a CCC. This NCI CCC core grant finances the center’s administration and funds numerous
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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