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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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, 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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environment, of engineering AI solutions to problems (especially neural networks or large language models) and/or applying data science techniques (such as Bayesian or similar statistical modelling). You should
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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
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will be required to support both paper based and computer based examination processes. Adhering to the Universities policies and procedures (training will be given). Providing clear instructions to large
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emulators. All work is theoretical/computer based and no real-world deployment of SRM techniques is included. Focus will be on understanding climate thresholds that may lead to large-scale dieback
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this Present research findings at national and international conferences Undertake data cleaning and data analysis of complex and large datasets Develop national and international collaborations as appropriate
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lead on large-scale restructuring and organisational change initiatives. One role is full time (35 hrs pw) until 31st July 2026 but we will consider applications from those willing to work at least
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quantitative data analysis of large secondary datasets and be based at the University of Bristol. There are opportunities to work on several other ongoing and upcoming research projects to help develop your