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Field
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quantitative discipline. You will have experience analysing complex, high-dimensional datasets and applying quantitative or computational methods, together with strong programming skills in Python or a
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to the activities of the Machine Learning & Data Science research group, develop rigorous mathematical proofs for convergence and asymptotic analysis of deep learning models, methods and algorithms, and collaborate
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Faculty of Social Sciences. The aim of the CCL is to improve our understanding of the causes, processes and effects of mediated communication using computational methods. We strive to advance core fields of
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of Engineering Science (Institute of Advanced Technology, Begbroke Science Park) and in collaboration with Professor Demrot O’Hare in the Department of Chemistry. The post is funded by the EPSRC SOUNDCHEM Programme Grant
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mechanisms underlying protein–RNA interactions and their regulation. We combine structural, biophysical, cellular and computational approaches to understand how RNA-binding proteins recognise their partners
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, working closely with the Core Outcome Measures in Effectiveness Trials (COMET) Initiative. You will develop and evaluate natural language processing and machine-learning methods (including large language
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the mechanisms underlying cognitive map failures in psychosis. You will plan and conduct experiments, analyse behavioural and neural data using computational methods to study planning and inference, contribute
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with academic researchers, clinicians, patient partners, and the University of Dundee Health Informatics Centre, contributing to research that aims to transform how neuropathic pain is studied using
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for a postdoctoral researcher with a strong background in epidemiology, biostatistics or a related field to contribute to the ATLAS Cancer Grand Challenges programme and the Unit’s broader portfolio
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wellbeing. The opportunity: Advance urban and landscape-scale natural capital accounting and biodiversity reporting methods through action research in Scotland. We are looking for an interdisciplinary