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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 position
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Duke University, Biomedical Engineering Position ID: Duke -BME -DUKENIKIFOROV1 [#30118] Position Title: Position Location: Durham, North Carolina 27708, United States of America [map ] Subject Area
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, evolutionary biology, computer science, physics, applied mathematics, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative experiments to understand and control
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research or scholarship. The appointment is generally preparatory for a full time academic or research career. The appointment is not part of a clinical training program, unless research training under
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restoration of function. The successful applicant will combine computational modeling, engineering optimization, and in vivo experiments to advance understanding and application of electrical block of neural
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manuscripts and preparing talks/presentations on the findings. We are interested in outstanding candidates who have a PhD in in organizational behavior or social psychology, with strong experimental research
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for scientific conferences. Assist in grant proposal writing for lab grants Mentor undergraduate or graduate students Doctoral qualification in epidemiology, biostatistics, computational biology, public health
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and other funding sources will fund the position. The position will be primarily based in the Department of Biostatistics & Bioinformatics, Duke University School of Medicine, under the supervision
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organoids, CRISPR-Cas9 gene editing, single-cell RNA/ATAC-seq, and spatial transcriptomics. A PhD, MD, MD/PhD, or equivalent degree in biomedical sciences-related fields and a track record of publications in
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: A Ph.D. in statistics/biostatistics, computer science, bioinformatics, or other related disciplines is required. Strong interest, research background and experience in the methodology research in