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stakeholders; coordinating the development and pilot implementation of eight training modules in non-formal and informal settings; collecting and analysing data from pilots; developing assessment tools
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to advance the development and application of reliable, interpretable and uncertainty-aware machine learning methods for high-stakes regulated domains, including law, finance, policy and regulatory decision
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career researchers with a PhD in psychology, political science or social-affective neuroscience completed or near completion prior to commencement of employment. The fellowship is available from September
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-methods process evaluation through interviews, ethnographic observations, focus groups, surveys, and analysis of healthcare records. The postholder will be supported to analyse data, write up reports
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dementia, Parkinson's disease (PD), diabetes, hypertension, heart failure, and stroke, by analysing voice patterns. Weakly supervised and zero/few-shot learning methods will also be exploited to classify
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demonstrate innovative approaches to engaging users through digital and gamified methodologies. You will hold a PhD in a relevant discipline or be close to completion, with expertise in research methods
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evaluating computational methods, analysing imaging data, collaborating with clinicians for real-world impact, and contributing to publications. About You PhD (or near completion) in computer science
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group comprising 9 academics and 10 PhD students, working on cutting-edge problems in cryptography. For more information on RHUL’s Crypto Group, please visit https://cryptography.isg.rhul.ac.uk
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ideally suited for people who have recently completed a PhD and who are interested in developing their educational skills within a supportive department. They should be enthusiastic about delivering