2,608 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" "UNIV" positions at Duke University
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accurate records of participation, program outcomes, and assessment data. Collaborate with Duke Career Center and their Internship Funding program. Provide administrative and logistical support for Health
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mentorships with clinical pharmacists, give professional presentations, and conduct research and quality improvement projects. For more information, see https://regionalpharmacy.duke.edu/internship/ Work
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met the challenge of accreditation and intend to consistently uphold the principles of quality improvement in patient care. Learn more here: https://www.dukehealth.org/locations/duke-ambulatory-surgery
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Policies and the Consensual Relationship Policy Protect the confidentiality, privacy, and security of student, staff, business, and other confidential, sensitive, electronic or proprietary information
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contributions of social determinants of health (e.g. healthcare access, socio-economic status, systemic racism) and molecular mechanisms that drive cancer mortality. Leveraging robust data from primary and
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molecular biology, or a related field. Must be detail-oriented, well organized with strong computer and communication skills and ability to work in a team environment. Preferred Qualifications: Previous
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documentation for IRB activities, consent processes, safety reporting, and AE documentation. Provide expertise on ethical study conduct and regulatory expectations. Data Quality & Integrity Oversee data workflows
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. The projects seek to improve our scientific understanding of memory function by investigating (a) the nature of mnemonic representations using cutting-edge representational similarity analyses (RSA) of fMRI data
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. Occupational Summary Performs a variety of research, data, and clerical duties of a routine and technical nature to support the conduct of clinical research under the supervision of a Clinical Research
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interventions and “nudges” in collaboration with external partners (e.g., companies, nonprofits, policy organizations) • Using advanced data analysis methods to extract interpretable patterns from large, messy