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and genetic association analyses using cardiac magnetic resonance imaging in biobank populations. Successful candidates will work with Prof Declan O’Regan in the Computational Cardiac Imaging Group as
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reinforcement learning, computational rationality and user modelling, and simulator-based inference. The post-holder will work on a project from Professor Kaski’s UKRI Turing AI World-Leading Fellowship. Research
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Background Fellowships are open to outstanding researchers who are near the beginning of promising academic careers (i.e. who have been awarded a PhD by the closing date for applications, and not
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on sperm function, including motility, acrosome reaction, survival, and viscous penetration assays Analyse and interpret complex experimental datasets using advanced statistical and computational approaches
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% super Contribute to groundbreaking research in neuromuscular junctions / Collaborate with leading scientists / Enhance your expertise in proteomics and computational biology Apply now to be part of a
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tailored to your career goals. You will have, or be close to obtaining, a PhD in deep learning, computational geosciences, computer sciences, mathematics, or physics, and have experience of developing and
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university, while collaborating with national and international partners across the Missed Vital Sign programme. You will have a PhD (or equivalent professional qualification and experience) in biomedical
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significant period of growth and now has over 150 members, with 18 academics (including 7 full professors) and approximately 120 PhD students and post-doctoral research fellows. The group has excellent
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welcome applications from passionate and skilled post-PhD or experienced researchers in Computational Fluid Dynamics, to join our team working on renewables and low carbon technologies. About the Role You
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a unique opportunity to develop their professional skills and build strong collaborations within the industry and academia. QUB also hosts some of the most advanced AI computing and Autonomous Vehicle