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, Statistics, Biostatistics, Computer Science, Computational Biology, Systems Science, Engineering, Physics, Epidemiology, Network Science, or a related quantitative field Demonstrate strong computational and
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Associate to join a collaborative research program investigating the endocrine-disrupting potential of plastic additives. This position offers a unique opportunity to conduct rigorous pharmacological and
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Ph.D. in chemistry, physical chemistry, physics or materials science is preferred. Experience Experience with aberration-corrected scanning transmission electron microscopy, as well as relevant image
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, Physics, Applied Mathematics, Computer Science, or a related area. Experience 0+ years of postgraduate experience. Skills The candidate must have excellent skills in conducting independent research and
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Appointee holds a PhD or equivalent doctorate (e.g. ScD, MD, DVM). Candidates with non-US degrees may be required to provide proof of degree equivalency. 1. A candidate may also be appointed to a postdoctoral
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, presentations at local/national conferences, manuscripts, and grant-related materials, depending on experience and interest. Choose Duke. Required Qualifications · PhD, MD, DO, PharmD, DVM, or equivalent doctoral
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effectively with other members of the research team. Requirements: Earned a doctorate (PhD, MD/MPH, etc.) in implementation science Demonstrated proficiency through previous research experience implementation
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Qualifications at this Level Education/Training: PhD (theoretical nuclear/high-energy physics, quantum information science, lattice gauge theories, quantum many-body dynamics) Experience: Preferred--computational
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across the Duke research community. EDUCATION/TRAINING: PhD in electrical engineering, physics, quantum theory/science, expertise in detection and estimation theory. PREFERRED: Statistical signal
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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