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School of Engineering invites applications for Doctoral Researcher in Sustainable Renewable Energy Engineering, Modeling and Optimization Department of Energy and Mechanical Engineering is a community of
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collaboration with IHL and an industry partner. where you will be part of the research team to develop and demonstrate Building-to-Grid Integration through Intelligent Optimization and Predictive Control at SIT’s
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that are relevant to industry demands while working on research projects in SIT. We are seeking a talented Power Electronics Engineer or Research Fellow to design and optimize high-frequency magnetic components and
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Optimization and Operations Research / Statistics and Data Science / Financial Mathematics / Engineering and Computational Mathematics / Mathematical Science (three posts) (Ref. 251010011) The Department
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medicine, with a primary focus on optimizing clinical trial design. The partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry
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to ensure optimal adherence to data collection processes. They should also exhibit a keen interest in the broad field of injury in elite sport, including the methodological and applied challenges
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into the same devices. The research project is part of a larger consortium, gathering world-class researchers in remote sensing with expertise ranging from estimation and optimization theory to hardware design
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accelerating their translation into impactful and industry-ready solutions. As a 5G Systems Research Engineer/Fellow, you will design, operate, and optimize the lab’s 5G infrastructure and support experimental
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discrete optimization, demonstrated by at least one publication, is essential. Strong familiarity with stochastic optimization methodology, particularly sample average approximations and two-stage stochastic
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This is a Research Fellow post to support the NIHR funded programmes OPtimal Timing of Induction of labour to improve Maternal and perinatAL outcomes (OPTIMAL): An individual participant data meta