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You will join the EPSRC-funded project “Behavioural Data-Driven Coalitional Control for Buildings”, pioneering distributed, data-driven control methods enabling groups of buildings to form
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your academic profile in a friendly, supportive, and dynamic centre, with the possibility of contributing to scholarly and policy publications, research seminars and transitioning into a PhD and/or
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You will contribute to a programme of research, funded by the Horne Family Charitable Trust, which aims to increase the evidence base on Domestic Violence and Abuse (DVA) experiences of people with
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, strong cross-cutting collaborations internally and externally, and ideas which transform computing outside the University. Appointment at Research Associate level is dependent on having a PhD. Those who
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computational tools to support the safe and ethical deployment of AI in clinical settings. The research focus is on AI performance monitoring, distribution shift detection, bias assessment, and stress testing
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expertise or additional resource for a project.) You will contribute to a programme of research, funded by the Horne Family Charitable Trust, which aims to increase the evidence base on Domestic Violence and
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the successful candidate embarking on a PhD programme at LSHTM. It is anticipated that the role will lead to a further 18 month funded opportunity at Max Planck Institute for Demographic Research (MPIDR), in
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infection. As part of this work, the postholder will also explore the contribution of the host microbiome to resistance emergence. (Research Associate) Applicants must have a PhD (or be working towards a PhD
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& robust control, and learning for dynamics & control. The main task of the PhD student will be to develop sound data-driven methodologies for learning control policies with provable guarantees
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Birgitta Gatersleben at Surrey and Dr Ethny Childs from the institute of environmental sciences (IES | www.the-ies.org ). It is funded by ESRC and part of the ACCESS program (ACCESS | Home What is ACCESS