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School of Computing & Mathematical Sciences Location: Greenwich and Medway Campuses Salary: £38,249 to £44,128 Contract Type: Permanent Release Date: Friday 25 July 2025 Closing Date: Friday 08 August 2025 Interview Date: To be confirmed Reference: FES015-E We invite applications outlining...
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Faculty of Life Sciences and Medicine Hub for Applied Bioinformatics). We are looking for an ambitious candidate with established expertise in bioinformatics, specifically dealing with large data sets and
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correction. This machine-learning approach, however, needs a realistic model of light propagation in the retina in order to validate it and to generate the large volumes of training data required. Funding
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(or equivalent) in a biomedical science. Experience in neuroscience and/or immunology is desirable. Project key words Retinal imaging, data-analytics, computer vision, big data Funding The studentship, funded by
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Big Data in Culture & Society, Digital Culture & Society and Digital Asset & Media Management, as well as our MA/PhD research degrees in Digital Humanities. We are the largest and most prestigious
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will plan and conduct experiments, generate high-quality data, prepare publications, make presentations and help supervise associated PhD students. The successful candidates will join large, supportive
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positive impact on the world around us. Background A part-time six months research assistant post to support Professor Katrin Hohl in a feasibility study of a large-scale analysis of Crown Court data in
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manufacturing. You will work in state of the art large language models and their application to chemical engineering, with a focus on AI model development, multimodal data processing and automated documentation
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economic, social and cultural benefits. For more information please visit: https://www.brunel.ac.uk/about/our-history/home The Department of Computer Science at Brunel where this project will be conducted
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demonstrable equivalent professional experience. They will also have strong experience of using machine learning or data science to analyse and model large datasets. Demonstrable technical knowledge and skills