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of the following: primary human melanocyte culture, inflammatory skin disease, single cell bioinformatic analysis, murine models; and a proven ability to work both independently and collaboratively. The Department
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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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PhD or equivalent degree required; experience in bioinformatic data analysis, zebrafish, or genetics is preferred. Additional Information: Location: Biomedical Research Tower (0112) Position Type: Term
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. Data analysis, interpretation, and visualization. Preparing scientific reports and peer-reviewed publications. Presenting research findings at national and international conferences. Required Education
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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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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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. 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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; 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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, 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