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international programs in more than 150 countries. The Pratt School of Engineering at Duke University is one of the fastest rising, highly ranked engineering schools in the nation. The school consists of four
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. Shihuan Kuang, PhD, a premier researcher at Duke University, has a postdoctoral associate position in his lab Prior experience working with transgenic mice is essential Onsite. The work is performed on-site
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osteoarthritis (PTOA)-associated joint degeneration and pain. A PhD is required Prior experience working with murine models of PTOA-associated cartilage catabolism and pain using pharmacologic treatments Onsite
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international programs in more than 150 countries. The Pratt School of Engineering at Duke University is one of the fastest rising, highly ranked engineering schools in the nation. The school consists of four
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to better understand disease progression and clinical outcomes of patients. This postdoc will collaborate with multidisciplinary research team members and clinical specialists to advance science in GSDs
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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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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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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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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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and social data. Minimum Requirements: A PhD degree is required. Preferred Qualifications: Experience with large-scale or high-dimensional datasets (e.g., cohort, registry, or omics data) Familiarity