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national and international research networks. We are looking for someone with a PhD (or near completion) in a relevant field such as machine learning, biomedical engineering, or neuroscience, with expertise
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will play a leading role in the analysis of large and complex genetic and electronic health records datasets with a range of Statistical and Machine Learning approaches, whilst leading a broad range of
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- XXXXXBR_supporting_statement. ESSENTIAL CRITERIA Qualifications and Education 1. Postgraduate degree at PhD level in a related subject area and Postgraduate Certificate in University Teaching and Learning or equivalent
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an internationally competitive track record in research and makes a significant contribution to undergraduate and postgraduate education. The Scheme would suit any GP qualified to work in Wales who wants to learn
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& Informatics, to work on the InteGraL project (“Interpretable Graph-Based Machine Learning”). This Leverhulme Trust funded project is focused on developing alternatives to Graph Neural Networks (GNNs). Its
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candidate should have a good understanding of edge computing systems, use of machine learning techniques (e.g. Deep Learning, Transformers) on resource constrained environments at the edge of a communications
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, utilising a range of machine learning approaches, whilst leading a broad range of investigative and analytical activities. Bringing skills in biostatistics and bioinformatics, with knowledge and experience