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Field
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operating filters. Quantify operational performance including headloss recovery, filtrate turbidity, biological stability and lifecycle carbon—using high-resolution sensor data and life-cycle assessment tools
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ADTKD diagnostics and clinical trials. What you’ll do You will work at the interface of laboratory and data science, and clinical genetics. You will: Establish and characterise the UK ADTKD-MUC1 cohort
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with a background in cognitive psychology, data science or computer science and a willingness to develop skills in computational models of cognitive processes, statistical methods, and programming (R
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You will be collecting, analysing, and presenting data throughout the study informing the intervention and app and contributing directly to the education/instructional videos contained within them
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to national and international conferences. Working as part of a team of experienced researchers including Dr Rachel Nicks (PI) and Prof Stephen Coombes (Co-I) and a post-doctoral researcher focussed
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of synthetic load profiles for domestic heat demand delivered via ASHPs and heat networks. Objectives: • To complete an evaluation of existing heat demand, based on available data sets; • To analyse
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nature of this project, please contact Prof. Tony McNally (T.McNally@warwick.ac.uk ) directly for further information. Essential and Desirable Criteria: 1 or 2.1 degree in chemistry, chemical engineering
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. Supervisors:Dr Isabella Guido and Dr Richard Sear Entry requirements Open to candidates who pay UK/home rate fees. See UKCISA for further information . Starting in January 2026. Later start dates may be possible
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multidisciplinary research-intensive technology university delivering economic, social and cultural benefits. For more information please visit: https://www.brunel.ac.uk/about/our-history/home Applications
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of marginalised communities through documents, interviews, and focus groups to understand their views on health data governance. Additionally, you will also be responsible for managing some organisational elements