61 parallel-computing-numerical-methods research jobs at Duke University in United States
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. The appointment is not part of a clinical training program, unless research training under the supervision of a senior mentor is the primary purpose of the appointment. The Postdoctoral Appointee functions under
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applications in environmental health and ecology as well as working with motivating datasets to become familiar with the data structure, challenges and competing methods. This position requires a Phd degree in
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. Preferred: Experience with in vitro and in vivo electrophysiology, imaging, mouse behavioral assays, and histological analysis. Computational skills are a plus. Why Join the Yang Lab? A proven track record of
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design and management; mentorship and coordination skills; familiarity with plant ecophysiology lab methods. Position details: • Start date: Flexible, as early as August 2026 • Location: Durham, North
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and enrichment within Imaging Services, including a clinical ladder program with various steps and opportunities across the health system. Required Qualifications at this Level Education: Graduate
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research methods, excellent communication/time management skills, and an interest in mentoring junior scholars. A Ph.D. in psychology or a related field is required by the start date. Position Details
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, planning, coordinating, and executing scholarly events; and a deep interest in helping an existing program grow. There is considerable space for a visionary postdoctoral fellow to bring their interests and
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Duke University, Electrical and Computer Engineering Position ID: Duke -Electrical and Computer Engineering -POSTDOCYIRANCHEN [#30336] Position Title: Position Type: Postdoctoral Position Location
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: A Ph.D. in statistics/biostatistics, computer science, bioinformatics, or other related disciplines is required. Strong interest, research background and experience in the methodology research in
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research and handling sensitive data is preferred. • Strong quantitative skills, including proficiency in regression modeling, environmental mixtures analysis, and spatial methods using R. • Familiarity with