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rehabilitation. The successful applicant will have the following technical experience in: PhD degree in Electrical, Mechanical, or Material Engineering (or related field) OR 3-5 years of industry experience
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the goal of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers and institutes
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Education and Experience Requirements PhD in epidemiology, biostatistics, computational biology, public health, or a related field Required Qualifications, Competencies, and Experience * Research experience
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Postdoctoral Association and Yale Office for Career Strategy. Qualifications Candidates should have or be close to obtaining a PhD in either genetics/genomics, evolutionary biology, computational biology, or a
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newly established fluid dynamics laboratory at NYU Abu Dhabi, candidates are expected to have a strong interest in experimental research and collaborate with applied mathematicians closely. PhD holders
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adults actively seek, select, and evaluate information to learn about the world. The lab combines behavioral, computational, and cross-cultural approaches to study curiosity, exploration, and reasoning
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benefits: Competitive and commensurate with experience; full Stanford benefits included. Required Qualifications: What We’re Looking For: • PhD or equivalent in Neuroscience, Cognitive Science, Computer
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postdoctoral scholar. The lab focuses on delineating the epigenetic pathways that regulate normal hematopoiesis and to further determine how regulatory networks are perturbed in leukemia. Our current research
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, the molecular and placental mechanisms underlying its protective effects remain poorly understood. In this translational research project, Dr Yoel Sadovsky (MD, biologist) and Dr Ivana Maric (PhD, data scientist
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: The candidate must have a PhD and extensive experience in modern deep neural network-based techniques. The ideal candidate should have: A PhD and a strong record of research or applied work in deep learning, with