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the physical and life sciences at the Science and Technology Facilities Council (STFC). Our suite of neutron and muon instruments gives unique insights into the properties of materials at the atomic scale. We
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methods, undertake genetic engineering of pathogenic fungi including Candida, Cryptococcus and Aspergillus species, and have experience of murine infection models. Please ensure you read the Job Description
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an available option. Applicants with a range of academic subject backgrounds are welcomed, including natural sciences, epidemiology, engineering, statistics and applied mathematics with experience and
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available option. Applicants with a range of academic subject backgrounds are welcomed, including natural sciences, engineering, statistics and applied mathematics with experience and/or growing interest in
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developing and maintaining radar equipment designed to capture quantitative data on pyroclastic density currents during volcanic eruptions. The successful candidate will have an engineering background and
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sociomaterial practices that shape decision-making around medicine use in pregnancy. The research will be informed by theoretical perspectives such as Science and Technology Studies (STS), including concepts
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to understanding the origins and progression of paediatric brain tumours and developing new therapeutic strategies. The lab combines genetic engineering, molecular biology, and translational research to investigate
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workflows and validate the established systems in tandem with clinical partners. About You You will possess a PhD (or be nearing completion) in mechanical, electrical, or biomedical engineering, or a related
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-modality ultrasound analysis. The appointee will be part of the Noble research group at the Institute of Biomedical Engineering, based at the Old Road Campus in Headington. The post is funded by UKRI and is
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of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, general pre-trained transformers, prompt engineering, knowledge graphs, knowledge