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Field
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, neural signals, behavioral, cognitive, genetic, and clinical data to model brain structure, function, and dynamics across individuals and populations. Key Responsibilities The postdoctoral fellow will
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in Nature , Cancer Cell , Nature Cancer, Lancet Oncology , and Journal of Clinical Oncology . Leveraging our exquisite access to patient material linked to large clinical trial cohorts, we are applying
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Sciences | Clinical and Translational Science Institute The goal of this postdoctoral training program is to leverage the large, collaborative, and multidisciplinary research environment at Ohio State
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Sciences | Clinical and Translational Science Institute The goal of this postdoctoral training program is to leverage the large, collaborative, and multidisciplinary research environment at Ohio State
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translocations between proto-oncogenes and immunoglobulin genes are the defining lesions of mature B cell lymphomas including diffuse large B cell lymphoma and Burkitt lymphoma. They arise as a byproduct of
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Professor position for a large-scale hearing Randomized Controlled Trial (RCT) is responsible for leading the scientific design, oversight, and execution of the study while managing research staff and
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experimental results in the context of large-scale datasets. Generate publication-quality analyses, figures, and visualizations, and contribute to study design, data interpretation, and project strategy. Lead
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-based modeling of hydrological and Earth system processes. The CHAS group conducts world-class research in hydrological and Earth system modeling, large-scale data analytics and machine learning (ML), and
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publications prior to the panel interview. In addition to further excelling your skills in Computer Vision/Big Data/Machine Learning analyses, this opportunity enables you to: - Work closely with clinicians
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expensive) drugs. DESCRIPTION: This project proposes the development of an AI-driven computational pathology framework to discover biomarkers from large-scale datasets of cancer patients with clinical