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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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term basis for 36 months due to funding restrictions. As part of your role, you will: Develop novel Bayesian machine learning approaches for psychoacoustic modelling. Publish your findings at top-tier
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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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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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. 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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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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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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patient contributors to develop ‘plain English’ summaries; and organising community engagement events to share findings with the public. The applicant must have a background in epidemiology, knowledge
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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