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the National Quantum Computing Centre (NQCC, link: https://www.nqcc.co.uk ) with a particular focus on research related to the UK Testbed Programme (link: https://www.nqcc.ac.uk/quantum-computing-testbeds-in
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly
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in Mass Spectrometry and Structural Glycobiology to work under the supervision of Prof. Weston Struwe for a period of 24 months. The project, funded by the UKRI, centres on developing advanced methods
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to obtaining an enhanced DBS check, as required for working with children (A) This role offers the flexibility of hybrid working, opportunities for professional development, and the chance to
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it relates to the laser process parameters. Specifically, you will carry out high resolution Raman imaging on laser written polymer networks with liquid crystal resins. Additionally, you will develop
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to the development of digital enablers for authentic real-time performance data and responsible decision-making, by putting user needs at the centre. The successful candidate is expected to: shape and engage in
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crystal resins. Additionally, you will develop new phase microscopy hardware to provide real-time feedback on the polymer network during laser processing. About you You should possess (or be near
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2025. We seek to recruit a Research Associate specialising in statistical modelling and machine learning to join our multi-university multi-disciplinary team developing a groundbreaking technique based
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. Ready to be part of our team? Let’s shape the future together! About the team: Our group develops and applies quantum mechanics-based methods for the description of condensed matter systems, including
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, defensive mechanisms and related topics to the safe deployment of systems contain multiple LLM and VLM powered models. You will be responsible for Developing and implementing; capability evaluations, attacks