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We are seeking a highly motivated researcher to join a multi-disciplinary team to engage with communities and stakeholders to understand their viewpoints on linking health and environmental data
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are categorised as non-destructive testing techniques, but they can be costly considering the number of sensors required and the maintenance of the data acquisition system. Hence, the alternative of direct
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shading or relocation. Addressing this gap requires the integration of physiological models, environmental sensing, and data-driven forecasting, tools that can provide the predictive power urgently needed
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waste)? How much of an improvement to air quality could be achieved by improving user behaviour? The student will use this data along with DEFRA commissioned surveys, together with laboratory data and
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in treatment receipt, time-to-treatment and treatment adherence will be assessed using linked data from the Clinical Practice Research Datalink, Hospital Episode Statistics and the Cancer Registry. In
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data, and digital process tools to support the scalable production of resilient, build-ready reactor components. Please contact Dr Kai Zhang (k.zhang@bristol.ac.uk) for further information. This project
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. Project proposals should assume utilisation of data from Crowdcube, Seedrs, and firm-level sources such as Companies House and Beauhurst, and consider use of natural language processing, computer vision
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, please complete the steps below. PDF versions are available here to help with planning but submissions must be made using the forms above, emailed PDFs will not be accepted. Information Session There will
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fault logs. Apply AI agents by integrating modern communication protocols to ensure reliable data transmission between IoT devices, LLM servers, and data repositories. (3) Machine learning for predictive
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technology increases the grid’s exposure to cyber-attacks, which can compromise measurement signals, disrupt control commands, or induce model or data-driven instability. This project aims to develop a robust multi