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these changes to a human or AI operator while retaining operator confidence and ensuring continuity of operations. The successful applicant will focus on developing and testing new methods to improve
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that exclusionary approaches disproportionately impact minoritised young people. The project uses embedded research methods in schools, focus groups, interviews and surveys with students, parents and education
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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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. 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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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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motivated and ambitious postdoctoral researcher with a background in adolescent mental health, experience sampling methods, digital phenotyping, or related disciplines. In your role, you will lead on the
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settings. We are seeking a highly motivated postdoc to conduct research into this fast-moving area. Directions may include investigating quality evaluation methods for multi-agent systems, attack surfaces
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, and co-ordinating study meetings between the research team and other stakeholders. There will be elements of data curation, management, and analysis, supported by a post-doctoral Research Associate and
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System Models, or related simulation tools. Additional knowledge of statistical methods, Monte Carlo techniques, or ensemble approaches is highly valued. The post is advertised as full-time. We are open to
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About the Role You will develop and apply novel computational methods to quantify the societal impact of fundamental science discoveries. Candidates close to completion of their PhD will initially