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, and travel related to the project. Overview ReNU+ is a unique and ambitious programme that will train the next-generation of doctoral carbon champions who are renowned for research excellence and
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adaptation for industrial simulation. The skills developed through this work will align strongly with careers in scientific computing, engineering simulation and applied machine learning for design and
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work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The Department of Computer Science is an
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of interdisciplinary experts who merge clinical endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology. The programme focuses on adrenal
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with other Doctoral Candidates and engage in secondments to technical and clinical partners within the consortium. Research Fields Applied Mathematics, Computer and Data Sciences, Biomedical and Chemical
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supervised by: Dr Joschka Roffe, School of Informatics, University of Edinburgh Dr Stergios Koutsioumpas, School of Informatics, University of Edinburgh Dr Vivek Chidambaram, National Quantum Computing Centre
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This PhD “Novel use of AI in Marine Monitoring” will focus on marine monitoring in NEOM Nature Reserve (NNR) within northern Saudi Arabia. The PhD will develop techniques for automation in surveying marine biodiversity, with an overall aim of decreasing the time between surveying and meaningful...
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. Requirements: The candidate will have a 1st class undergraduate or Master’s degree (or equivalent) in Applied Mathematics, Physics, Aerospace Engineering, Mechanical Engineering, Computer Science, or a related
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, data science, engineering, ethics and law into an integrated field of digital endocrinology. The programme focuses on adrenal disorders as a case study for advancing digital health in Europe. About the
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28 Nov 2025 Job Information Organisation/Company Queen's University Belfast Department Centre for Secure Information Technologies Research Field Computer science » Cybernetics Engineering » Computer