82 computational-physics "https:" "https:" "https:" "https:" "Ulster University" Postdoctoral positions at Duke University
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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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assistance, if needed. Minimum Qualifications The candidate should have a Ph.D. in Engineering, Physics, Applied Mathematics, Computer Science, or a related area. Experience 0+ years of postgraduate experience
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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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. The appointment is viewed as preparatory for a full time academic or research career. The appointment is not part of a clinical research training program, unless research training under the supervision of a senior
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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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or scholarship, and may include teaching responsibilities. The appointment is generally preparatory for a full time academic or research career. The appointment is not part of a clinical training program, unless
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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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or scholarship and may include teaching responsibilities The appointment is generally preparatory for a full-time academic or research career. The appointment is not part of a clinical training program, unless
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lab members, and collaborate with colleagues across the Duke research community. Required Qualifications at this Level Education/Training: PhD in Physics, Electrical/Computer Engineering/Quantum
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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