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employ advanced analytical methods in large databases, which include claims data and electronic health record data in conventional structures and in common data models. Our research group prioritizes a
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environment across multiple teams, with the ability to prioritize effectively. Being highly self-motivated to leverage the distributed supervision structure. Must be able to work well with academic and industry
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study of ECE and policy impacts. Strong data analytical skills using advanced statistical methods (such as mixed effect models, multilevel modeling, structural equation models, longitudinal modeling, etc
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chromatin structured contexts. Ideal for those with experience in cell culture, molecular biology, and seeking to acquire or strengthen expertise in gene editing methodologies, bioinformatics, and DNA DSB
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outcomes of a priority project, while also contributing to secondary efforts. Responsibilities include gaining deep familiarity with study assessments, protocols, data structures, and—where applicable
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will develop data-driven approaches for 3D geological structure modeling using comprehensive geological, geophysical, and geochemical data for country-scale smart mapping. One goal is to transform
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to investigate the pathogenesis and treatment of optic neuropathies, which includes studies using multimodal assessments including measurements of visual function and structure. We will use noninvasive