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slavery and war. Structured around four interconnected research strands—(Re)conceptualising, Understanding, Forecasting and Tackling—the Centre’s programme aims for far-reaching insights that transform
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interpretation of atmospheric circulation in high-resolution reanalysis data, idealised model simulations and a state-of-the-art weather forecasting system. The post-holder will have the opportunity to teach
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benefits of CPL detection would allow the broad communities of life and material sciences to adopt this facile technology. We forecast a potentially game-changing impact on a global scale that reaches
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on the training strategies. In this project, we will investigate Bayesian methods to train deterministic SNNs (with deterministic activation functions) or probabilistic SNNs. Bayesian deep learning methods have
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-centred embodied AI, specifically tackling challenges in multimodal perception, understanding and forecasting human behaviour, as well as advancing the navigation, manipulation, and social awareness skills
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platforms 8. Familiarity with AI techniques such as forecasting, pattern recognition, or optimisation using machine learning 9. Competence in handling and interpreting data from real-world energy
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-centred embodied AI, specifically tackling challenges in multimodal perception, understanding and forecasting human behaviour, as well as advancing the navigation, manipulation, and social awareness skills
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-centred embodied AI, specifically tackling challenges in multimodal perception, understanding and forecasting human behaviour, as well as advancing the navigation, manipulation, and social awareness skills
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of life and material sciences to adopt this facile technology. We forecast a potentially game-changing impact on a global scale that reaches further than the scientific benefits associated with this project