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of the interactions between building stocks, heat and cooling demand, and electricity distribution networks. They will develop new computational approaches, contribute to the expansion of existing modelling tools, and
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algorithms. Design and develop robust Python APIs for edge-only, cloud-only, and edge-cloud computation offloading algorithms. Set up network testbeds integrating hardware, software, and communication
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normally defined as within 3 months of application date). Desirable: Training in qualitative methods. Training or micro-credentials related to related to co-design community engagement methods, climate
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disciplines and backgrounds, and our work draws on the skills, expertise and resources of not only the institute, but the university and its wider network too. Our research is complemented by extensive
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the creativity the world needs for a better future. Since 1842, our colleges have been defining creative education. With curiosity, imagination and intent we make work which creates lasting change for people and
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-quality and high-impact research and for creating research networks supporting their careers. We welcome applications across all areas in Computer Science, including Algorithms and theory Artificial
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warm and friendly place to work, a unique and historic setting – Durham is a university like no other. As one of the UK’s leading universities, Durham is an incredible place to define your career
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candidate to work with a broad network of collaborators and contribute to publications, dissemination, further funding development and wider impact activity, while helping shape interventions
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particularly through expertise in trials and software development. The appointee will work the King’s Clinical Trials Unit (KCTU), the UKCRC registered CTU within King’s College London and Partner Trusts in
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define how the choroid plexus develops, communicates with the developing brain and responds to maternal immune activation. The successful candidate will lead the computational analysis of large-scale