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; enabling academic leadership through the adoption and evolution of leading technology; fostering associated expertise; and enhancing interdisciplinary collaborations. Leading-edge platforms including High
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research and innovation to be at the forefront of computational practice; enabling academic leadership through the adoption and evolution of leading technology; fostering associated expertise; and enhancing
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technologies (modelling, simulations, and infrastructure), applied AI, and uncertainty quantification This post offers an exciting opportunity to make an important contribution to the development of research in
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Manager will work with the Directors of the Leverhulme Centre for Algorithmic Life and key strategic partners to develop and implement a strategy and plan of activity for cross-sector engagement and
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Professor Daniel Paulusma from Durham University and Professor Vadim Lozin from the University of Warwick. The general aim of the project is to develop algorithmic meta-classifications, which state that any
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modelling, advanced AI algorithms, and decision-support tool development for various hydrogen technologies-based energy systems. Responsibilities will include programming, analysing and interpreting data, and
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application. The successful candidate will work at the intersection of multi-disciplinary modelling, advanced AI algorithms, and decision-support tool development for various hydrogen technologies-based energy