206 coding-"https:" "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" uni jobs at University of Pittsburgh
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synthesizes information from peer-reviewed and grey literature. - Conducts analysis of research data including systematic extraction of articles for scoping reviews, thematic analysis for qualitative coding
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· Collate and organize data files on the lab server Strong coding skills are necessary. Experience with neural data is strongly preferred. Salary will be determined based on qualifications. Physical Effort
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an academic or healthcare setting. • Ability to adapt and learn new technologies in a fast-paced environment. Job Summary Designs, develops, codes, tests, debugs, implements, and maintains moderately complex
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for instructional design and assessment is highly desirable. Experience with HTML/coding, Jupyter Notebook also highly desirable. Please note: candidates will be required to provide a portfolio. Candidates may
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assigned diagnosis code and procedure code. Investigates insurance company denials, audits patient accounts, answers inquiries for assigned accounts, and updates related billing and financial documents and
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with coding in R and, ideally, have familiarity with multivariable generalized linear models (e.g., logistic regression, survival models, log-normal regression, rank regression), propensity matching
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expenses, and performs associated financial duties. Essential Functions Position requires coding, entering, verifying, and maintaining data as it relates to the external site visit audit program of the NRG
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. Proficiency with ‘vibe-coding’ is a plus, provided there is a good understanding of responsible and careful vibe-coding. Must have an understanding of basic molecular biology and genetics. Must have experience
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HTML/coding, Jupyter Notebook also highly desirable. Please note: candidates will be required to provide a portfolio. Candidates may include a link to an online portfolio in their resume or they may
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addition to supporting existing and future research projects, as well as other duties assigned by the PI and Lab Manager. The preferred candidate ideally has a background in neuroscience, basic coding, and laboratory