2,668 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "Univ" "UNIV" positions at Duke University
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product review processes, innovative manufacturing, and data analysis and surveillance. The role entails regular interaction with an array of external project sponsors and collaborators including government
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performance on large-scale electronic health records. The fellow prepares manuscripts for high-impact journals and contributes data to federal grant proposals. Job Responsibilities: Applicants must possess a
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to identify biological signatures of sepsis and other acute critical conditions. Daily operations involve the processing of transcriptomic and genomic data integrated with longitudinal clinical variables
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maintain an informative and accurate medical record to initiate charges for each patient treated. Communicates in a professional manner essential information to all appropriate members of the healthcare team
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student will receive comprehensive training in bioinformatics workflows, specifically focusing on how to process and interpret high-dimensional spatial transcriptomics data. The candidate will work closely
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. Admit, register and preregister patients with accurate patient demographic andfinancial data. Resolve insurance claim rejections/denials and remedy expediently. Calculate and collect cash payments
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, register and pre-register patients with accurate patient demographic and financial data. Resolve insurance claim rejections/denials and remedy expediently. Evaluate diagnoses to ensure compliance with
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/payment. Admit, register and pre-register patients with accurate patient demographic and financial data. Resolve insurance claim rejections/denials and remedy expediently. Evaluate diagnoses to ensure
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, register and pre-register patients with accurate patient demographic and financial data. Resolve insurance claim rejections/denials and remedy expediently. Evaluate diagnoses to ensure compliance with
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exceptional opportunity for early-career scientist with training in nutrition or biostatistics (with an interest in nutrition) to develop advance skills and experience in clinical trial data analyses, clinical