2,602 data "https:" "https:" "https:" "https:" "Stanford University" 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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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
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skills are particularly welcome. For information about the lab and the PI, please visit: https://www.cellbio.duke.edu/purushothama-rao-tata/ . This will be a minimum one-year appointment, contingent upon
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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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and data analysis with a concentration in leadership, management, and ethics, offering applied, skills-based training to established or emerging public affairs leaders. Every course in the program uses
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should meet the following requirements: · High School Diploma or GED equivalency · Must be able to use a computer · At least 1 full year customer service experience or working with the public
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employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation
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benefits, and a culture that values diversity and professional growth. Learn more about our benefits at https://hr.duke.edu/benefits . Anticipated Pay Range: $44,766.00 – $71,706.00 annually, based
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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