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to developing new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental/School research-related activities and research-related
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Language Processing (NLP) with a focus on large language models, deep learning, and multi-modal machine learning. The researcher will work on the project KAMAL Health: Knowledge-Augmented Multi-Modal Arabic LLMs
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unique opportunity to demonstrate the effectiveness of the Corstonian ‘one stop’ shop model. The overarching aim of the research agenda is to identify the ‘core offer’ that distinguishes the unique support
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apply advanced computational tools and reproducible workflows to interrogate large-scale, liquid chromatography–mass spectrometry (LC–MS)-based comparative metabolomics datasets spanning a range of model
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on research related work and provide guidance to students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from
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Contribute to developing new models, techniques and methods Person Specification First degree in Chemistry and normally, a higher degree relevant to research area or equivalent qualifications/experience
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new models, techniques and methods Undertake management/administration arising from research Contribute to the Intellectual Disabilities Research Institute (IDRIS) and Departmental/School research
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or joint research, with assistance of a mentor if required and contribute to writing bids for funding Promote equality and values diversity, acting as a role model and fostering an inclusive working culture
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guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental
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models, techniques and methods Undertake management/administration arising from research Contribute to Departmental/School research-related activities and research-related administration Contribute