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partners to broaden the scope of your research; Liaise with our industry partners to ensure commercial impact of your research; and Develop and participate in activities for engagement with the public
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ECS in collaboration with teams at the University of Cambridge, University of Manchester, Turing Institute, and HMGCC. You will develop new low-power systems and ML algorithms to significantly extend
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Dikai Guan on the UKRI funded project. The project will aim to develop novel high performance, resource efficient light alloys. The funding deadline is 31/05/2025, but it has a high chance to get this
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verification. You should have experience with high-performance programming language (e.g. C++, Rust, Go), or framework (CUDA, Tensorflow, MPI), with the ability to develop, maintain, and optimise complex systems
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annum Full Time Fixed Term for 42 months Closing Date: Friday 17 May 2024 Interview Date: To be confirmed Reference: 2247423EB-2R You will develop time-resolved photoelectron spectroscopy capabilities