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) learning state-of-the-art data analytic methods that incorporate rigorous field and laboratory research methods, including mixed method designs when appropriate; 4) gaining experience in interdisciplinary
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Postdoctoral Associate — Bioinformatics and Data Science - Stites Laboratory The Stites laboratory utilizes a variety of computational, mathematical, and experimental methods to study problems in
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collaborative research hub. Examples of the practical impact of recently published original science in our lab is available at www.goshualab.com . Qualifications Minimum qualifications (#1-4): 1. PhD or MD-PhD
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. Familiarity with data collection software (e.g., REDCap), citation software (e.g., EndNote), and statistical software (e.g., Stata). Topical familiarity with violence prevention, community health workers
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driven individual with a PhD in data science, computer science, biomedical informatics, or a similar background with some experience working with large datasets. Prior experience with healthcare is not
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. * Proficiency in R, Python, or related software and programming languages. * Experience with big data, linux systems, and remote computing clusters. * Knowledge of genome-wide approaches and other statistical
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topics include, but are not limited to (i) developing statistical and machine learning methods for study designs and decision-making in early detection of pancreatic cancer (ii) establishing strategies
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and supportive academic community. Qualifications We are seeking candidates who meet the following criteria: A PhD or equivalent degree, already obtained, in a related field e.g., philosophy, law
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. Opportunities for presentations at local, regional, and national meetings, manuscript writing, grant preparation, and professional development. Qualifications: MD, PhD, PharmD, or equivalent degree. Background in
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researchers, regardless of their institutional association, race, cultural background, ability, sexual orientation, gender, or socioeconomic status. Applications from scholars utilizing traditional methods