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Doctoral Associate Duke Department of Neurosurgery Brain Tumor Omics Program Position Overview We are looking for a dedicated Post-Doctoral Associate to join Dr. Simon Gregory's laboratory in the Brain Tumor
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. Preferred: Experience with in vitro and in vivo electrophysiology, imaging, mouse behavioral assays, and histological analysis. Computational skills are a plus. Why Join the Yang Lab? A proven track record of
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recent Ph.D. in microbiology, evolutionary biology, computer science, physics, applied mathematics, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative
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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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ma yinclude 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 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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, United States of America [map ] Subject Areas: Computer Science Ecology Environmental Science Climate Science Geography Appl Deadline: (posted 2025/01/27, listed until 2025/04/01) Position Description: Apply Position
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engineering or related disciplines with experience in optics, computation and electronics. Responsibilities will include designing and implementing optical systems based on quantitative phase imaging with
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of the Environment, the department of Biology, the Global Health Institute, the Duke Medical Center, and Civil and Environmental Engineering , who work together via interdisciplinary research and training programs
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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