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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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of the resulting materials will be undertaken using thermal, mechanical and rheological methods, as well as using spectroscopy and GPC methods. Materials will be tested in applications and end-life recycling
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the first instance. The actual starting salary offered will be based on qualifications and relevant skills acquired and will also be determined by the funding available. About you You will hold a PhD/DPhil or
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expression as well as HDX mass spectrometry and is funded by BBSRC. Find out more about the research group here . Applicants must hold a PhD in Chemistry or a relevant subject area (or be close to completion
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following areas: qualitative thematic analysis; mixed methods research, ethnographic methodologies. Evidence of research-related computing skills: word processing, NVivo, Reference management software
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to be analysed together with their bound lipids, small molecules, and post-translational modifications. These methods provide mechanistic insight directly relevant to drug discovery. The successful
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access, analytical methods, and protocols, maintain clear documentation, and coordinate data exchange with partner sites and repositories. They will contribute to project design, manuscripts, presentations
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, and developing ideas for generating research income. You will supervise and mentor students and research staff, providing guidance on methods, analysis, and career development, and represent the Centre
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developing ideas for generating research income. You will supervise and mentor students and research staff, providing guidance on methods, analysis, and career development. You will also conduct cutting-edge
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the molecular architecture of the chloroplast’s beta-barrel protein assembly machinery using structural tools. The successful candidate will have a PhD with relevant experience in protein biochemistry and