72 proof-checking-postdoc-computer-science-logic Postdoctoral positions at Duke University
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processes. Ongoing projects combine molecular biology, neurobiology, biochemistry, and computational approaches to address fundamental questions in RNA regulation. Minimum Requirements: Min Degree
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, providing international and regional leadership in biostatistics, genomics, biomedical informatics, artificial intelligence and health data science. We are recruiting a creative, rigorous Postdoctoral
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, Computational Biology, or a related biomedical discipline. Strong publication record demonstrating research productivity. Excellent organizational, communication, and problem-solving skills. Ability to work both
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, innovation, and scientific excellence. What You'll Bring: Required Qualifications MD, PhD, or equivalent doctoral degree in Clinical Neurophysiology, Epilepsy, Neuroscience, Neurology, Biomedical Sciences
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, that’s just fine! Our lab is a training environment; we are primarily interested in recruiting people who love science and are willing to put in the work to achieve their goals. Minimum Requirements: Ph.D
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, and apply Crainbow mouse models that express multiple HER2 isoforms — wild-type (WT), D16, and p95 which are essential reagents for the laboratory’s DoD funded program. Minimum Requirements: Ph.D
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Postdoctoral Associate, Vision Science & Retinal Disease Research Be You. At Duke University, groundbreaking discoveries begin with talented individuals who are passionate about advancing science
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team dedicated to advancing our understanding of rare pediatric inflammatory muscle diseases through cutting-edge bioengineering and translational science. Working alongside clinician-scientist
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application to quantum theory and information science. Other application areas of interest include robust parameter estimation and performance bounds under model misspecification, integrated sensing and
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growing portfolio of trauma, critical care, nutrition, ethics, and clinical informatics research. This position will coordinate complex, multi-component studies that include prospective patient enrollment