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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 3 days ago
group. The conventional Dunnett’s type I error rate adjustment proposed in 1955 is for superiority tests with normally distributed data. There are statistical concerns about generalizing the procedure
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, one year of career-promoting work associated with teaching, dissemination or research infrastructure/services, will be distributed over the full employment period and thus corresponding to 25 per cent
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description UiB - Knowledge that shapes society UiB shall be among Europe's
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laboratory space, including a 200 m2 set of clean room facilities, and we maintain a Tier 2 site as part of the UK contribution to LHC world-wide distributed computing. The School of Physics and Astronomy is
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-career or emerging researcher to contribute to cutting-edge work in: Multiagent systems and distributed control Learning and optimisation Variable structure and sliding mode control Smart power and energy
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diverse team of faculty members, engineers, and industry partners, including renowned researchers at the College of Computing and Data Science (CCDS) at NTU. Technical skills, natural curiosity, versatility
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connected to “Arctic Ocean 2050 ”, a major ten‑year national research program aimed at advancing our understanding of the present state and future evolution of the Arctic Ocean. The program brings together 18
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opportunity for an early-career or emerging researcher to contribute to cutting-edge work in: Multiagent systems and distributed control Learning and optimisation Variable structure and sliding mode control
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of Computing and Data Science (CCDS) at NTU. Technical skills, natural curiosity, versatility, and enthusiasm are highly desired traits that will enable success in this fast-paced environment. Key
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opportunity for an early-career or emerging researcher to contribute to cutting-edge work in: Multiagent systems and distributed control Learning and optimisation Variable structure and sliding mode control