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becomes essential. This project will focus on building a comprehensive digital twin of a future quantum computer to investigate how classical subsystems scale and interact, and how this scaling impacts
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for Translational Bioinformatics is a team of computational biologists, software engineers and data scientists located within the Digital Environment Research Institute (https://www.qmul.ac.uk/deri/) at Queen Mary
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recruitment to trials of student-specific digital interventions. You will receive training and supervision from Professor Kate Saunders and will work closely with other members of the research team including
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. Richard Walker, Principal Investigator on the project. The successful candidate will work closely with Prof. Richard Walker, along with the broader COMET community, on a project sponsored by the UK Foreign
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recruitment to trials of student-specific digital interventions. You will receive training and supervision from Professor Kate Saunders and will work closely with other members of the research team including
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The Department of Language and Culture at the University of Southern Denmark (Odense, Denmark) invites applications for a fully funded 3-year postdoctoral position as part of the research project
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unpublished sources in UK archives; contribute to physical and digital exhibition curation; produce high-quality academic publications; contribute to academic symposia; and contribute to the university’s
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, Malawi, and Zambia, the project designs and deploys AI-driven Digital Twin systems for standalone solar mini-grids, empowering communities and enhancing system resilience. Role As a Postdoctoral Research
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. The broader aim is to understand the dynamic relationships between language, literature, and identity within a minority context. The key responsibilities of the post holder include: Collaborate with the digital
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infrastructure, cloud computing, or digital sovereignty Excellent communication and collaboration skills in English Basic understanding of quantitative methods (e.g. multiple regression) Additional selection