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through invasive catheter procedures. While these measurements provide valuable clinical information, they are costly, time-consuming and carry risks for patients. Developing reliable non-invasive
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offers an unusual opportunity to work at the intersection of Isabelle/HOL, the seL4-verified microkernel, information-flow security, and AI-assisted theorem proving. The project aims to develop a formally
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, behavioural, and cognitive data. Additionally, the candidate will act as the clinical lead for two experimental psychopharmacology studies examining paranoia in healthy volunteers following the administration
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advanced statistical modelling, econometrics or machine learning with a particular focus on analysing large-scale behavioural data? Are you interested in developing new methodological approaches capable
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or machine learning with a particular focus on analysing large-scale behavioural data? Are you interested in developing new methodological approaches capable of extracting behavioural insight from increasingly
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The job details are shown below. For further information click on the link for the job description. Would you like to be a postdoctoral research fellow on the NIHR evaluation of new treatment models
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at risk. Most patients therefore present with advanced disease which responds poorly to standard treatment. Working alongside a UK clinical trial, we have generated large immune profiling data sets from
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that values all staff, and are happy to consider job share applications and requests for flexible working arrangements from our employees. Our Athena SWAN webpage provides more information. What we offer in
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: Architect event-triggered compute stacks using industry-standard orchestration tools (e.g. Kubernetes and container workflows), and to engineer loading strategies for managing highly-irregular flows of data
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and digital media. You will work closely with the Project Investigators, contributing to all stages of the research process, including design, data collection, analysis and dissemination. The role will