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. Minimum Education Required: Ph.D. in high energy nuclear or particle physics or a related field and Required Qualifications: Demonstrated experience in data analysis. Skill related to the analysis of large
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Doctoral Scholar-NRSA awarded an extramural fellowship. Clinical and Translational Data Science Postdoctoral T32 Training Program. The goal of this postdoctoral training program is to leverage the large
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within a large team. We particularly seek someone who is proactive, collegial, and eager to contribute to a supportive and intellectually vibrant environment. Additional Information: Location: Dreese
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biological data. · Proficiency in R and/or Python for data analysis and visualization. · Experience working with large datasets in an HPC or cloud computing environment. · Demonstrated ability to work
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analyzing large and complex data sets, such as RNA Seq, and strong organizational and administrative skills. Strong verbal and written communications skills are required. Experience with stable isotope
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of this postdoctoral training program is to leverage the large, collaborative, and multidisciplinary research environment at Ohio State to increase the reach of clinical and translational data science (CTDS) education
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projects; Strengthen competencies in project management, partnership development, and multidisciplinary collaboration; Build a robust scholarly pipeline grounded in CETEs large-scale education projects
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data. High proficiency in R or comparable programming languages is required, and experience with statistical modeling, geographic information systems (GIS), and handling large spatial datasets is
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cell culture, phylogenetic analyses of large next-generation sequencing (NGS) datasets, and models of trait evolution. The post doc will also integrate molecular data with comparative and evolutionary
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. Responsibilities will include contributing to the cleaning and management of large administrative data on childcare providers and families; implementing econometric modeling techniques using R and/or Python