32 quantum-computing-"https:"-"https:"-"https:"-"U.S" Postdoctoral positions at Duke University
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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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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
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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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coordinate with Principal Investigator and Program team to stay on budget and schedule to meet the milestones and deliverables. Follow standards of responsible conduct in research. Adhere to University
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, United States of America [map ] Subject Areas: Mathematics / applied mathmetics , Mathematical Sciences , Partial Differential Equations , Statistics Computer Science Machine Learning Appl Deadline: none (posted 2025/08
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regional leadership in biostatistics, genomics, biomedical informatics, artificial intelligence and health data science. The Postdoctoral Associate will conduct research in statistical machine learning and
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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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international and regional leadership in biostatistics, genomics, biomedical informatics, artificial intelligence and health data science. We are recruiting a creative, rigorous Postdoctoral Research Scientist
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systems, social sciences, epidemiology or other health-related fields. Demonstrated proficiency through previous developed analytical codes with R Language for Statistical Computing and/or Python The ideal
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) Experimental investigation and computational model simulation of laser-induced bubble dynamics and material damage assessment 3) Developing AI and machine learning models for robot-assisted laser surgery and