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Field
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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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About us The Department of Physics at King’s College London is part of the Faculty of Natural, Mathematical & Engineering Sciences. It provides a research environment spanning theoretical physics
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to have published in leading machine learning conferences or similar venues. One or two PDRAs will be recruited to work within one of, or across, the four research themes: Learning with Structured
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About the role Reporting to the Principal Investigator, Professor Philip Poole, the post holder will undertake research within a project addressing the looming nitrogen (N) crisis. With the human
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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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Hours of work: Full-time Tenure: Available from 1st October 2026 until 30th September 2028 Hybrid Working: Hybrid Working - minimum requirement of 40% on Campus, with 60% considered desirable
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. This is an interdisciplinary research project aimed at advancing the interpretability, safety, and alignment of machine learning systems. We seek candidates with expertise into the use, extension and
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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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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