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The Postdoctoral Diversity Enrichment Program (PDEP) provides $60,000 over three years to support the career development activities for underrepresented minority postdoctoral fellows in a degree
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research in the field of machine learning, more specifically, deep learning and representation learning architectures. Application areas of ML include, but are not limited to, computer vision, natural
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sciences.Tackling key problems in biology will require scientists trained in areas such as chemistry, physics, applied mathematics, computer science, and engineering. Proposals that include deep or machine learning
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medical image data. Vivid Interest in interdisciplinary research, closely working together with pathologists, medical experts, computer scientists and other researchers. Independent and pro-active work
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. To accelerate established efforts, team requires the candidate to partner with on-site scientists with virological, animal model and neuroscience expertise. The program was the first to develop a novel humanized
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 9 days ago
to introduce current biomedical science and careers to their students. Using design thinking, participating teachers and scientists will incorporate research on emerging contaminants (specifically, per- and
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gene expression in different disease states and the host immune response. The CVD involves scientists and physicians working in all phases of vaccine development. The CVD is a highly interactive
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for livestock systems in East Africa, and in the subtropics in Latin-America. The research programme will examine productivity of grasslands, nutrient stocks and cycling and their relationship to biodiversity. We
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
1950, it was the first school of nursing in North Carolina to offer a four-year baccalaureate nursing degree program followed by the first master’s degree program, the first continuing education program
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investigating the causes and consequences of mutational processes in human health and disease. We are an interdisciplinary team of computational, experimental, and clinician scientists allowing us to generate and