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-edge advancements in deep learning, cross-modal representation learning, and large-scale transformer architectures to develop novel methodologies that are not only high-performing and data-efficient but
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transformation, and programme management. The ideal candidate will have a Master’s degree (MBA or higher) and a proven track record of leading large, high-performing teams in a fast-paced environment. You should
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financial strategy and leading the University’s Finance department, fostering a high-performance culture in line with Imperials values. This is an exciting opportunity to directly support our mission
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for the benefit of everyone, in the short and the long term, with a mission to protect, connect, and know our worlds. This role will be instrumental in creating, building and leading a high-performing team that
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study near-detector prototypes for HK (ND280++), which will include performance benchmarking, detector design, reconstruction methods, and data taking in particle test beams. The candidate will
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independent and original research, submit publications to refereed journals and support the activities of the research group. You will have the freedom to develop your own research program alongside other
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of the instrument design, build and test programme. There will be the opportunity to engage in a range of tasks, key examples of which are shown below. Supporting the instrument design activities Performing critical