384 coding-"https:" "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" positions at Yale University
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Instructions To apply to this position, please use the following link http://apply.interfolio.com/161903. Review of applications will begin immediately and will continue until the position is filled. If you have
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multi-disciplinary team of psychologists, psychiatrists, social workers, and nurses. Application Instructions Please apply through Interfolio using this link http://apply.interfolio.com/161874 . You will
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Interested applicants should submit Curriculum Vitae, Cover Letter, and a list of 3 References to: http://apply.interfolio.com/153656 For any questions or inquiries regarding this position please contact
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protocols. Plans and implements changes. 6. Develops forms, questionnaires and the application of research techniques; writes procedures manuals for data collection and coding. 7. Responsible
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. Researches individual accounts. Follow up of denials according to the rejection code posted in Epic and follow process guidelines established by the Central Business Office management team. Process and review
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research subject evaluations; administers medications and research instruments, and presents data. Reviews, codes and contributes in the entering of all collected patient data to assure completeness and
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. Plans and implements changes. 6. Develops forms, questionnaires and the application of research techniques; writes procedures manuals for data collection and coding. 7. Responsible for the documentation
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; prior coding experience (e.g., Python, MATLAB, or similar) is a desirable plus but not strictly required. Experience with mouse surgery is highly desirable. Track record of productivity, independence, and
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. The ideal candidate will have expertise in coding in R/RStudio, analysis of large data sets, prior experience with infectious disease modeling, prospective cohort development, REDCap experience, and/or COSMOS
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: • Strong coding skills required • Coursework or experience in molecular biology/genetics preferred Appointment Details Location: TAC S347, Yale School of Medicine Appointment Length: One year, with