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developing learning-based perceptive approaches. You will develop learning and/or optimization based approaches to multi-robot path and motion planning and coordination, integrating multi-modal perception and
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multiple ship classes and shore power applications. The project seeks to deliver industry-relevant modelling toolkits that enable optimal design and operation of greener vessels, backed by real-world
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deep neural networks to guide the development of algorithmic paradigms aimed at combining statistical optimality with computational efficiency. Reinforcement Learning through Stochastic Control. We will
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plant-colonising bacteria and integrate them into the chromosomes of appropriate bacterial chassis. Control systems will be designed to restrict expression to target plants and ensure optimal expression
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multiple ship classes and shore power applications. The project seeks to deliver industry-relevant modelling toolkits that enable optimal design and operation of greener vessels, backed by real-world
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focused on the use of enabling technology, such as flow, to control complex chemical processes. With projects in supramolecular synthesis, organic materials, industry processes, automated optimization, and
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optimization, and crystallisation, we are a multi-disciplinary group with expertise in chemical engineering, organic synthesis, porous materials, and automated and digital approaches. Alongside Prof Slater, you
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optimization of large language models (LLMs) and related architectures for generative tasks, continuous learning, indexing or retrieval, support of retrieval augmented generation over many data points from long
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of accidentals and low-energy signals, characterize background populations, improve event reconstruction, and understand detector effects. They will contribute to LZ operations and performance optimization
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of accidentals and low-energy signals, characterize background populations, improve event reconstruction, and understand detector effects. They will contribute to LZ operations and performance optimization