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Field
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multiple avenues and utilize the QPSi project management system to track and analyze the execution of the dissemination plan. Utilize metrics to assess the effectiveness of different dissemination strategies
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. Experience with next-generation sequencing and/or exome/whole genome sequence analysis. Computer programming (e.g. R/Python) and bioinformatics experience. Familiarity with NGS clinical testing, databases
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(e.g., Vue, React), Python Knowledge, Skills, & Abilities ABILITIES Able to develop software that meets technical specifications to satisfy business requirements Able to write code that utilizes basic
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learning techniques Develop and implement complex analyses pipelines, programming, and data visualization techniques Creatively and effectively integrate data from multiple sources to accelerate discoveries
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microbiome has direct relevance for human health. Bile acids (BAs) offer a powerful, tractable window into these questions. Synthesized in the liver and released into the gut, host-derived BAs undergo multiple
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one statistical software (e.g., R, Stata, SPSS, Python) Expertise in quantitative analysis, with preferred skills in Quasi-experimental evaluation techniques (e.g., Difference-in-difference, PSM) Social
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Microsoft, open-source, and web standard technologies such as Python Flask, .NET Web Forms, .NET MVC, C#, CSS, HTML, ReactJS, jQuery, and T-SQL to design, develop, and deploy web-based applications
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For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary The MPI Program, Bloustein School, Rutgers University, seeks multiple
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electronic health records (EHRs) from multiple UK hospital centres using advanced data analytics including machine learning, deep learning, and statistical techniques—with a particular emphasis on deep
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health data, c. QA/QC of collected and analyzed data and data validation and verification against independent sources, d. data summary and analyses, e. modeling of individual or multiple elements