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into company valuations. You'll apply cutting-edge machine learning techniques (transformer models, causal forests, double machine learning) to understand which aspects of patent language predict valuable
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As a Research Associate in Data-Driven Optimisation, you will work at the interface of chemical engineering, machine learning and automation, to develop next-generation workflows for the design and
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for the AiTASHA project. We welcome applications from candidates who: Have research expertise in statistics with a strong mathematical foundation. Have experience in AI, machine learning or deep learning, and
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, install, commission and maintain compute and data storage resources supporting the research of the Institute, including Machine Learning. • Assume technical and organisational lead responsibility for one
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/postgraduate courses as well as administrative, assessment and exam duties as required. This post will support learning and teaching in the subject area of applied biomechanics particularly related to sport
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insights into datasets. Apply machine learning methods to integrate multi-omics data with real-world clinical outcomes data. Provide assistance to the research group in dataset management, upload to public
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insights into datasets. Apply machine learning methods to integrate multi-omics data with real-world clinical outcomes data. Provide assistance to the research group in dataset management, upload to public
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Intelligence (GenAI) can support people with learning disabilities in their daily lives. This innovative project explores the potential of using GenAI to support the daily lives of people with learning
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reproducible infrastructure while collaborating closely with cross-disciplinary teams across genomics, epidemiology, machine learning, and biomedical science. The role will also involve mentoring junior
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bespoke methods – including advanced data modelling approaches (e.g., machine learning, digital twin models) and AI techniques where appropriate – to provide novel solutions that enable sports to make