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project will likely use a combination of single particle cryoEM, cryoET, and X-ray crystallography, you should be an expert in at least one of those techniques and keen to learn the others. You also should
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information and advice on best-practice methodologies in machine learning/deep learning. It is essential that you hold a PhD/DPhil (or close to completion) in a relevant quantitative field (e.g. biostatistics
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rules which enable effective learning in large and deep networks and is consistent with biological data on learning in the cortex. In particular, the research will focus on evaluating and extending a
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learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion
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everyone, every day. With over 1 million visitors per year, the Museum preserves and shares its collections and knowledge to promote research, learning and enjoyment, in order to illuminate our shared
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influence clinical practice. We welcome applications from candidates with following backgrounds: Candidates with strong experience in medical image analysis, machine learning (especially deep learning) and
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We are seeking a full-time Postdoctoral Research Assistant to join a cross disciplinary research project to improve our understanding of colorectal cancer. Deep learning has revolutionised image
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working on nanotechnology, biosensing, optics, and machine learning to develop an advanced point-of-care diagnostic platform with a strong translational emphasis. In this new role, we are looking
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management and analysis of EHRs, a background in data science and machine/deep learning, and solid programming skills in Python and/or R. The program has already collected large clinical data sets-we are now
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researchers, public engagement professionals, and community stakeholders. You will also support participatory research projects, contribute to institutional learning, and represent the University in external