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into research software. Collaborating closely with project partners and under the guidance of the principal investigator, you'll leverage insights from diverse research activities to develop a comprehensive
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(s) extension on related projects. As part of your roles, you will design and develop ML algorithms that make deep learning models learn on the fly and solve multiple tasks efficiently on embedded
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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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and high-quality educational offering, we are renowned for our innovation and enterprise and are within the top 1% of universities worldwide. The role Iceland is underlain by a plume in the mantle, with
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to develop new and more effective antibody reagents for cancer patients. The current opportunity is for a research fellow to join the team to help dissect mechanisms of action for mAb capable of manipulating
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systems. You should be a confident programmer in a systems language (such as C/C++, Rust, Java, or Go), with the ability to develop, and maintain integrate maintain complex systems. You will be
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. The candidate will join a vibrant research community at Southampton, the RFI, and the CLF, which includes physicists, chemists, computer scientists, and biologists all working to develop imaging techniques within
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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