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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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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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literature. Essential duties include: to assist and communicate with Principal Investigator (PI) with research lab experiments and sample processing/analysis; assists with evaluation of tests and procedures
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experience with remote sensing data and its analysis, and geospatial skills Strong statistical background Excellent English writing and verbal communication skills Ability to travel periodically for reports
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breeding, bioinformatics, computational biology, genetics, molecular biology or related field Required Experience • Experience with high-performance computing and analysis of next-generation sequencing
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quantitative analysis, including management of behavioral and cognitive measures. Direct implementation of the AquOTic therapeutic protocol, delivering weekly evidence-based aquOTic sessions and conducting
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research. The Postdoctoral Scholar – Pharmacometrics in the PhASR will support data collection, quality control of data, data analysis, modeling, simulation and PK/PD study design for human clinical trials