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physics. Development of new artificial-intelligence and machine-learning techniques for high-energy and nuclear physics. Close interaction with our collaborators in the EIC and the BNL theory group will be
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of vortices and turbulent atmospheric dynamics in Arctic weather and climate, in collaboration with researchers at the University of Reading and project partners. The post-holder will be a member of the
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. The successful candidate will collaborate with clinicians, engineers, physicists, chemists and statisticians in the Center for Understanding Biology using Imaging Technology (CUBIT). CUBIT members have a strong
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fellows for a collaborative team project to uncover the cellular 'band aid' proteins that enable rapid wound healing in axolotls and flies. Funded by the prestigious Human Frontier Science Foundation
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research into planet formation/protoplanetary discs or the ISM/star formation and may also have some experience in statistical methods and/or machine learning. Dr Winter and QMUL are committed to improving
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: Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt to changing priorities and work demands. Teamwork: Ability to work collaboratively with others and contribute to a
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pathogen variants. You will be part of a collaborative initiative between Argonne National Laboratory (ANL), Lawrence Livermore National Laboratory (LLNL), Fred Hutchinson Cancer Center (FCC), University
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to develop applied research skills in machine learning, interact with an international network of collaborators, and gain post-doctoral research experience. The ideal candidate is self-motivated and can work
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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procedures of Stony Brook University and have strong communication and collaborative skills. ● Conduct independent and collaborative research on resilient and communication-efficient distributed multi