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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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The University of Bristol is seeking a Research Associate to work with Dr Ben Faber on a Wellcome Trust-funded project entitled ‘Utilising large joint structural phenotypes of osteoarthritis
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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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, analysing data and presenting research findings in various settings, under the support and direction of the supervisory team. You will work with big data including bioinformatic data and epidemiological data
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including designing and conducting experiments, analysing data and presenting research findings in various settings, under the support and direction of the supervisory team. You will work with big data
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science with bioinformatic component. Experience working with high performance computing (HPC) with large data sets is essential. Experience with pipelines for genomic sequence analysis from raw reads. Relevant
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Management or a related field (e.g., Data Analytics, Big Data, Entrepreneurship, Asset Management, AI), preferably with extensive management experience in the hospitality and tourism business, excellent
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high-impact research in a collaborative, interdisciplinary environment spanning medical statistics, epidemiology, clinical microbiology, and data science. You’ll work with large-scale electronic health
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modelling, quantification of uncertainties and data analysis. They will work closely with a large delivery team at the UK Centre for Ecology & Hydrology, British Geological Survey and Imperial College London
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present network performance data based on your specialist knowledge. This role requires deep expertise in large-scale WAN networks, particularly those leveraging SD-WAN technologies, to meet the strategic