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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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the design and implementation of actuation and sensing technologies, ideally in medical or radiological applications • Proven track-record of high-quality research • Experience of robotics
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. The study will involve computational modelling of dynamic aperture and coherent instabilities based on single- and multi-particle tracking simulations, as well as designing and conducting experiments
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methodology, theory, and applications across the areas of Bayesian experimental design, active learning, probabilistic deep learning, and related topics. The £1.23M project is funded by the UKRI Horizon
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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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also be able to undertake research based on their academic expertise on specific themes and objects in the exhibition and accompanying catalogue. This is an excellent opportunity for an advanced doctoral
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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
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are desirable, as is a proven track record of deploying machine learning models on real-world robot platforms. Informal enquiries may be addressed to Prof. Ingmar Posner (email: ingmar@robots.ox.ac.uk) For more
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proven track record of interdisciplinary research at the intersection of information-theoretic approaches, EEG data collection and analysis (including SSVEP), and altered states, as well as experience in
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, microscopy, flow cytometry and quantitative real-time PCR. You will have a strong track record of writing papers as evidenced by publications or submitted manuscripts in scientific journals, and have evidence