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crises (e.g., climate, pollution, biodiversity) from a broadly social cognition angle. Desirable research frameworks to explore these topics include cognition and emotion in judgement and decision-making
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particular focus on tumour metabolism Maintain a high level of up-to-date specialist knowledge, by reading relevant journals and participating in relevant conferences, so as to support the INSTINCT-MB team in
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) - Knowledge of programming (C/C++/python/MATLAB), CAD software (SolidWorks/Autodesk) and basic electronics - Understanding of physical and chemical principles of/for transduction - Experience building
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methods and quantitative methodologies is also essential. Any prior knowledge of obstructive sleep apnoea or sleep disorders is not essential to the project. This is a highly innovative project that breaks
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between air quality and cognition, sleep and mental health in childhood and adolescence. This Studentship provides the opportunity of liaising with Hertfordshire County Council to get first-hand data
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Research Assistant/Associate in Photonics Integration of Graphene and Related Materials (Fixed Term)
possess sufficient breadth or depth of knowledge in the discipline and of research methods and techniques to work within own area. The candidate will also have the ability to continually update knowledge
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present with neurodevelopmental deficits associated with Autism Spectrum Disorder and hyperphagia, and in healthy controls. We will be using a range of methods, including behavioural phenotyping, cognitive
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. Experience in working with large data sets, knowledge of statistics, and some programming expertise is essential. The project is based in ECEHH, at the University of Exeter’s Penryn Campus in Cornwall, and may
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Nottinghamshire NHS Foundation Trust. They will work as part of an established and diverse wider research team based at other recruitment sites in Sussex, London and Gateshead. You must have knowledge and
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
intelligent methods that integrate large language models (LLMs) and knowledge graphs to interpret technical documentation and structure complex engineering knowledge. The goal is to create digital twins