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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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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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excellent academic track record in topics relevant to robot perception. A specific focus on visual inertial odometry (VIO), mapping (SLAM) and 3D reconstruction is desirable. Informal enquiries may be
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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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-particle tracking and single-molecule FRET is essential. Finally, experience in image and time-series analysis is also essential. You should have excellent communication skills and enjoy working within
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completed, or be close to completing, a PhD/DPhil in a relevant quantitative field together with a demonstrable track record in studying humans and machine learning models. Advanced programming and
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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
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Radcliffe Hospital and Churchill Hospital (Oxford University Hospitals NHS Trust). The work carried out will involve patient identification/tracking, liaising with clinicians, tissue acquisition, processing
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characterisation, and thin-film deposition techniques. Knowledge of semiconductor physics and a track record of working with next-generation novel materials for light-harvesting is essential. Applicants should be