181 computer-science-intern-"https:" "https:" "https:" "https:" uni jobs at Duke University
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Position Description Occupational Summary Duke University’s Master's in Interdisciplinary Data Science program (MIDS) is seeking a Visiting Faculty and Scholar with expertise in quantitative finance research
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stakeholders and staff Demonstrated commitment to completing work efficiently and by designated deadlines Strong organizational and communication skills Ethics – You may assist the Research Program Leader in
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centers, including the Department of Population Health Sciences (DPHS). The Duke PopHealth DataShare™ (https://populationhealth.duke.edu/research/pophealth-datashare ) is a shared resource managed in DPHS
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to USD $35.75. Duke University considers factors such as (but not limited to) scope and responsibilities of the position; candidate's work experience, education/training, and key skills; internal peer
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components to troubleshoot system issues. • Perform basic calculations and conversions. • Use computer software applicable to plant operations. • Conduct chemical testing and maintain proper treatment levels
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international programs in more than 150 countries. Occupational Summary Coordinate and administer activities for the Coleman Family Ventures (CFV) Fellows Program and the Health Professions Advising (HPA) team
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documentation for international studies. May develop resources and tools for management of international studies, and/or coordinate with other entities or offices. Is responsible for all aspects of managing and
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the research program. • Guide teams in preparing datasets for repository submission and ensuring FAIR data principles are applied. Science & Protocol Development • Independently draft grant applications, study
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international programs in more than 150 countries. Be You. At Duke, we celebrate individuality and the unique perspectives that each member of our community brings. As the Primate Technician, you’ll play a vital
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field. • Preferred experience in computational biology, single‑cell perturbation data analysis, and programming in Python or R. • Interest in machine learning, cancer genomics, and single‑cell