31 affective-computing-"https:"-"https:"-"https:"-"Washington-University-in-St" Postdoctoral positions at Duke University in United States
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foundation for an independent research trajectory. REGAL is a multidisciplinary research program integrating social epidemiology, molecular epidemiology, and global health to investigate the drivers of cancer
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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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—induced by targeted drugs—can serve as a powerful therapeutic avenue in prostate cancer. Working under the mentorship of a Duke faculty leader, you will develop your independent research program, contribute
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Duke University, Electrical and Computer Engineering Position ID: Duke-Electrical and Computer Engineering-POSTDOC_MGORLA [#31868] Position Title: Position Type: Postdoctoral Position Location
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primary benefit. This postdoctoral appointment is part of the Duke University Aging Center’s NIA-funded T32 Postdoctoral Research Training Program. This multidisciplinary program is focused on developing
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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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Duke University, Electrical and Computer Engineering Position ID: Duke-Electrical and Computer Engineering-POSTDOC_CRICHMOND [#31795] Position Title: Position Type: Postdoctoral Position Location
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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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lysosomal enzyme that hydrolyzes glycogen. Recent findings from our laboratory identified the impact of GAA deficiency and glycogen accumulation in alveolar type 1 and type 2 (AT1 and AT2) cells. Specifically
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addition to pursuing their own research agenda, we seek applicants with experience in survey design and computational methods, and working with complex large-scale data. Successful candidates will have completed a Ph.D