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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
, investigating the biochemical and molecular networks underlying T cell function during immune regulation and disease, by combining mouse models and biochemical, molecular, genetic, multi-omics, and immunological
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networks. These systems will have tunable chemical and photophysical properties for the translational development of platform technologies in the advanced materials sciences. This is a highly
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networks for solving inverse problems, learning robust models from few and noisy samples, and DNA data storage. The position is in the area of machine learning, with a focus on deep learning for inverse
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Children’s Alliance, a national network of premier pediatric hospitals. This investment expands our clinical programs, pediatric research, and innovation. Our hospital benefits from enhanced collaboration
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scientists of the Futurelab offers an outstanding opportunity for networking and the development of followup projects. The position will be remunerated between W1 and W3 equivalent according to your
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to continuously expand the state of the art. Your challenge As part of the EV Lab, you have the chance to actively shape the future of electric mobility. You can further expand your network with partners from
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Center (ERIC) for Genomics. Furthermore, most projects are multi-institutional and provide abundant opportunities to collaborate and network with leading genomic researchers across North America and Europe