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of seven departments in the Faculty of Information Technology and Electrical Engineering . Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/307873/postdoctoral-fellow-in-un
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who have seen a vast number of images from the CoCo-database (https://cocodataset.org ); and apply and interpret the architecture to local field potential data recorded in humans who have seen movies
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environment in which you will collaborate with researchers working across nuclear engineering, naval architecture, electrical power systems, and maritime operations. The project is carried out in close
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workloads often resort to large-scale and energy-hungry supercomputers, it is necessary have a more critical look at how HPC should be used in this context. The general research question is: “How can HPC fur
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network and computing resources to compensate for the gap between physical latency limits and human perceptual tolerances. The work will comprise designing networking and computing architectures
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-efficiency requirements at the energy edge. Further, you will incorporate compliance-by-design AI architectures and models and validate our solutions across key energy use cases such as energy market
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physical latency limits and human perceptual tolerances. The work will comprise designing networking and computing architectures that integrate prediction and control algorithms, optimizing data
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compliance-by-design AI architectures and models and validate our solutions across key energy use cases such as energy market optimization (demand response, transactive energy peer-to-peer trading, and
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increasing importance due to the widespread use of AI and in particular machine learning (ML). As today’s mainstream AI/ML workloads often resort to large-scale and energy-hungry supercomputers, it is