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learning, computer science, physics, statistics, mathematics or related field. Demonstrated experience designing and developing novel machine learning and/or computer vision methods for either computational
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developing machine learning or data science approaches for patient stratification and genetic association analyses using cardiac magnetic resonance imaging in biobank populations. Successful applicants will
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, Chemistry, Engineering, preferably in an area involving Raman spectroscopy (Applicants in the process of Ph.D. submission will be considered.) • Knowledge of Raman spectroscopy instrumentation. • Strong
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(see below). There is currently one fellowship available where the successful candidate will join one of our Cardiovascular Research Teams, details as follows: - BRC Theme: Cardiovascular / Imaging
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responsible for data/image acquisition, analysis and interpretation and for using this information to design efficient heterogeneous photocatalytic processes. This will involve working on the synthesis and
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organisations and residents to enable them to play an active role in the C4 research programme Supporting residents and community organisations to participate in an engage with all aspects of the research process
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for getting things done. About Us The Faculty of Natural Sciences (FNS) encompasses the Divisions of Biological and Environmental Sciences, Computing Science and Mathematics, Psychology, and the Institute
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resources effectively Understanding of and ability to contribute to broader management/administration processes Contribute to the planning and organising of the research programme and/or specific research
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industry. Our aim is to shine new light on manufacturing processes and products through developing best-in class 3D imaging. Specifically we will exploit and further develop new and upgraded beamlines
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. Strong expertise in advanced confocal and/or light sheet imaging. Strong expertise in quantitative image analysis approaches. Excellent molecular biology skills. Strong interest and experience in using