59 computational-physics-"https:"-"https:"-"https:"-"https:"-"Univ" research jobs at Duke University
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, evidence-based practice, and interdisciplinary collaboration to lead the future of nursing. Our nursing program stands as a leader in healthcare education, earning #1 in the nation for Best Bachelor
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Duke University, Electrical and Computer Engineering Position ID: Duke-Electrical and Computer Engineering-POSTDOC_YIRAN [#31802] Position Title: Position Type: Postdoctoral Position Location
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: Durham, North Carolina 27708, United States of America [map ] Subject Areas: Electrical and Computer Engineering / Engineering Physics , Quantum Engineering , Machine Learning Appl Deadline: 2026/10/01 04
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. Duke School of Medicine’s interdisciplinary Duke Molecular Physiology Institute (DMPI), is seeking a highly motivated Postdoctoral Fellow with a PhD in computational biology, genomics, computer
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physics journal. Skills Good working knowledge of multiple programming languages for numerical computation, broad understanding of quantum theory, good scientific communication abilities. The intent
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, and analyzing current or future quantum simulations at the intersection of subatomic physics and quantum information science. The successful candidate will also lead peer-reviewed publications and
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, United States of America [map ] Subject Areas: Engineering / Computational Science and Engineering , Machine Learning , Quantum Science and Engineering Appl Deadline: (posted 2026/03/05 05:00 AM UnitedKingdomTime, listed
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. The investigator collaborates with interdisciplinary clinical teams to integrate these computational tools directly into hospital workflows. Routine duties include algorithm optimization and the evaluation of model
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multiple affiliations. Be You. Duke School of Medicine’s interdisciplinary Duke Molecular Physiology Institute (DMPI), is seeking a highly motivated Postdoctoral Fellow with a PhD in computational biology
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the context of critical illness. This position focuses on computational modeling of host-response mechanisms using high-dimensional multi-omics datasets. The fellow develops novel computational pipelines