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guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental
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be creating tools that let researchers and data owners assess whether an AI model maintains privacy protection of the data on which it was trained, and decide risk mitigation strategies. Our goal is
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optimise interventions using the Person-Based Approach, including behavioural analysis and theoretical modelling Develop intervention materials including written manuals and videos, working collaboratively
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modelling Develop intervention materials including written manuals and videos, working collaboratively with video creators and clinical teams Engage with key stakeholder groups and facilitate wider public
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or equivalent) focusing on their own contributions and achievements in their past research, and including up to two slides outlining their fit to this role. Background The School of Chemistry at the University
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provide crucial information on adrenal tumour prevalence and cardiometabolic correlates in UK adults. Using already available MACS cohorts to develop predictive models of cardiovascular and mortality risk
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PhD in a relevant field (Computer Science, Mathematics are most likely to fit the role but we are open to Chemistry, Materials Science, Chemical Engineering, etc.), expertise in cutting-edge AI and
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challenges. We are looking to support a small number of high-quality applications in the following areas of specialisation: Macro: structural models of labour markets; search and matching models Behavioural