25 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dip" Postdoctoral positions 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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] Subject Area: Engineering / Quantum Science and Engineering Appl Deadline: (posted 2026/01/06 05:00 AM, listed until 2026/06/29 04:59 AM) Position Description: Apply Position Description The Duke Quantum Center
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-reviewed publications as well as presentations at international conferences. Required Qualifications: Education/Training- PhD in Electrical and Computer Engineering; Four (4) years training in wireless
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collaborate with colleagues across the Duke research community. Required Qualifications at this Level Education/Training: PhD in Physics, Electrical/Computer Engineering/Quantum Engineering or equivalent Duke
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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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, United States of America [map ] Subject Area: Engineering / Quantum Science and Engineering Appl Deadline: (posted 2025/12/19, listed until 2026/06/19) Position Description: Apply Position Description The Duke Quantum
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Physics, Astronomy, Astrophysics, Computer Science or a related field by the start date ● Strong background in observational or computational cosmology, large-scale structure, weak lensing or image
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. Postdoctoral Associate – Psychiatry – Behavioral Medicine – Shelby Lab Be You. The Cancer Symptom Management and Support Program is seeking a Postdoctoral Associate for a position beginning in September 2025
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healthcare. Qualifications Required: PhD (or equivalent) in computer science, statistics, biostatistics, electrical/biomedical engineering, or related quantitative field. Strong background in machine learning
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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. in a relevant discipline