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Field
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generalization across tasks. Hierarchical and modular agent architectures to enable scalable coordination. Design and implement simulation environments, integrating real-world data and domain-specific constraints
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. The successful candidate will become an active member of the Energy, Power and Intelligent Control (EPIC) research centre within the School of Electronics, Electrical Engineering and Computer Science (EEECS
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Qualifications* PhD Degree in Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, or a related field Familiarity with (biomedical) signal processing Experience working with clinical data
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representation methods for accelerated inverse design Large language, diffusion & graph neural models for materials discovery Fine tuning and architecture optimisation of foundation models Inverse design of next
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breakwaters under varied sea conditions. 2. CFD and Finite Element Modeling Perform Computational Fluid Dynamics (CFD) simulations to optimize the design and performance of floating breakwaters. Develop finite
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resilience. Formulate novel research methodologies and contribute to the development of secure architectures for next-generation mobility and network systems. Collaborate with academic and industry partners
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: The Computational Geometry Lab researches the design and science of shape, aided by computational tools and design intuition. The Lab combines computational, formal, architectural, and historical research into a
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Audition for Robots (ActivATOR)” under the direction of Dr Christine Evers. The position will be in the Vision, Learning and Control (VLC) Group, which is part of the School of Electronics and Computer
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whose interests range from discovering new cancer treatments, and advancing quantum computing, to evidencing the impact of social media on children’s mental health. “These prestigious awards offer a rare
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emerging threats and system resilience. Formulate novel research methodologies and contribute to the development of secure architectures for next-generation mobility and network systems. Collaborate with