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for Embedded Machine Learning Applications," funded by the NorthEast Launchpad Competition. We are seeking a candidate with a strong background in hardware design and the implementation of machine learning
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, as well as in designing coordination strategies. Our recent work on ML-based co-optimization demonstrates some of our key research directions relevant for this position. The role holder will work
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the processing that is conducted on the chip. This requires an efficient and bespoke processor design that maximises the processing speed on the chip for the algorithms that are required for facial expression
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Project Overview This project is at the intersection of machine learning, differential equations, and numerical weather prediction (NWP). This collaboration with the Met Office integrates advanced mathematical models with state-of-the-art machine learning techniques to develop forecasting models...
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Project Overview This project is at the intersection of machine learning, differential equations, and numerical weather prediction (NWP). This collaboration with the Met Office integrates advanced mathematical models with state-of-the-art machine learning techniques to develop forecasting models...
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innovation across semiconductor technologies, novel microchip designs and system architectures – leading to faster, cheaper, greener and overall, more power-efficient electronics. As one of nine UKRI funded AI
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other data collection methods Designing, developing and optimising computer aided design components Undertaking advanced FEA mechanical and thermal analysis combined with topological optimisation
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protein design and evolution, using molecular biology and biophysics along with the latest AI or machine learning tools. According to the development of the project there may be the chance to learn other
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to set a firm scientific basis for climate change innovation and climate change philanthropy. The staff at the Grantham Institute is a mix of professional staff, with specialisms in innovation, research
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Date: Friday 14 June 2024 Interview Date: Friday 28 June 2024 Reference: SCI142124 Applications are invited for a Research Associate/Fellow in Responsible Innovation in Health You will be working as a