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engineering teams to implement and test models in production environments What We’re Looking For We’re looking for research scientists with a proven track record of applying deep learning to solve complex, high
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nonlinearity. The objective of the project is to thoroughly examine the influence of factors such as geometry, noise sources, and nonlinearities on critical performance parameters, including bandwidth
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. Using detailed energy usage data from different industrial reference sites (offices, manufacturing facilities etc.) to examine what elements are affected by different weather scenarios, the project will
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of underserved groups with AA, including Asian and black individuals, adolescents, and men. Understanding how to measure the effectiveness of peer support interventions, to ultimately test the effectiveness
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theoretical work on the relationship between AI and democratic ideals, an exploration of the history of algorithmic manipulation of democratic processes, examination of the role of the tech sector, including
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through theory and simulation and/or experimental design and testing; developing new image reconstruction algorithms for providing more information with less radiation; and applying our techniques
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this testbed available to users for testing hardware and applications. NPL will lead on the testing and security evaluation of the testbed and collaborate widely on the technology development. The student’s
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confidence that these technologies are qualified for industrial scale deployment. The research will involve comprehensive performance, qualification and safety tests on electrolyser single cells and short
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This project will involve epidemiologic analysis of FluTracking and published data to explore how self-testing and vaccination behaviour have evolved over time and characterise interventions and
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candidate will support experimental research focused on the synthesis and characterization of photo-activated semiconductor materials. Responsibilities include developing and testing UV-activated gas sensor