53 programming "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" research jobs at Duke University
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University Health System is seeking an experienced or new graduate Imaging Technologist to join one of the most comprehensive and advanced CT programs in the region while embracing our mission of Advancing
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records of research activity, which remains the property of Duke University upon termination. Monitor progress of research projects and coordinate with Principal Investigator and Program team to stay
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programming skills in R. Proficiency working within UNIX/Linux environments. Preferred Qualifications Experience with Bayesian statistical methods. Experience with hierarchical modeling and mixed effects models
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through excellence in education, research, and clinical practice. With more than 1,500 students, we offer a comprehensive range of programs, including the Master of Nursing (MN), Master of Science in
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duties incidental to the work herein**DUHS offers career growth and enrichment within Imaging services. There is a clinical ladder program with various steps and opportunities at each hospital within
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contributions to biomedical science. Be Bold. Join a research program focused on uncovering the cellular, molecular, and neural mechanisms underlying migraine and chronic pain. You'll leverage cutting-edge
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, and apply Crainbow mouse models that express multiple HER2 isoforms — wild-type (WT), D16, and p95 which are essential reagents for the laboratory’s DoD funded program. Minimum Requirements: Ph.D
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benefit from Duke's competitive benefits package, including health insurance plans, generous paid time off, retirement programs with employer contributions, tuition assistance for employees and their
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through excellence in education, research, and clinical practice. With more than 1,500 students, we offer a comprehensive range of programs, including the Master of Nursing (MN), Master of Science in
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Summary: Duke University is a world-renowned research institution. Currently, we are looking for a Postdoctoral Associate with expertise in deep learning to participate in a research program focused on