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and most comprehensive dataset on multiple sclerosis (MS), encompassing longitudinal data from over 40,000 individuals, some tracked for more than a decade. You will be responsible for advancing and
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly
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to infer brain aging and injury mechanisms; and iv) study the potential relationship between exposure to head impacts and the development of neurodegenerative diseases such as Alzheimer's, Parkinson's and
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accelerators; have a proven track-record of high-quality research at world-leading accelerator infrastructures; experience of finding information and analysing complex data and representing this in an accessible
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will be committed to maintaining high standards of organisation, documentation, and laboratory practice. A willingness to handle human tissue samples and contribute to sample tracking, processing
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science, chemistry, engineering, or a related field. Applicants should be highly experienced, and have an established track record in the collection and processing of high-resolution electron microscopy and
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manage a research project, including a research budget. A track record of collecting human data, especially eye tracking data would be an advantage. The closing date for applications is 12.00 midday on 23
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quantitative and programming skills along with a track record of designing neuromodulation and neuroimaging studies in healthy participants, of using computer programs to design experimental paradigms, analyse
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motivation, learning and decision making. You will have strong quantitative and programming skills along with a track record of designing neuromodulation and neuroimaging studies in healthy participants, of
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completion of, a relevant PhD/DPhil together with relevant experience. You will have the ability to lead and report an original research programme, as shown by a documented research track record, including