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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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. You will be responsible for building wide support and optimal management and coordination of the facilities. You will also work closely with the facilities management team, operational teams and
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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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that the directors are operating optimally. You will have significant experience providing high-level executive and administrative support to senior leaders, with excellent organisational, prioritisation and diary
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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
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. The role would involve optimizing an artificial touch sensor for use in detecting defects during composite layup, as well as developing algorithms and visualization tools to demonstrate its performance
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. This role may focus on simulations and signal models, dataset curation and statistical package development in support of such searches. They will contribute to LZ operations and performance optimization
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detector effects. They will contribute to LZ operations and performance optimization. This will involve adapting existing and developing new scientific techniques; contributing ideas for new research