2,590 data-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Duke University
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. The Research Technician II will contribute to hands-on fieldwork, laboratory analyses, and data-focused research supporting carbon cycling studies in coastal peatlands of the southeastern United States. You’ll
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Coach, you’ll be a vital part of a collaborative, interdisciplinary team that supports students from diverse backgrounds as they pursue careers in data science. Be Bold. What You’ll Do: Assist the Head
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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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housing logistics for programs, including Laidlaw Scholars. - Plan and facilitate alumni and participant engagement events. - Support major program events including information sessions, retreats
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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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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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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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and assist with collecting and analyzing pilot data and writing scientific grant proposals on community-based interventions for hypertension for major funding agencies under the direction
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discover how we can advance health together. Duke Health Integrated Practice https://careers.dukehealth.org/us/en/dhip Duke Health Integrated Practice comprises more than 110 primary and specialty outpatient
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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