25 phd-cloud-computing Postdoctoral positions at University of London in United Kingdom
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About the Role You will develop and apply novel computational methods to quantify the societal impact of fundamental science discoveries. Candidates close to completion of their PhD will initially
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for medicine use before and during pregnancy. This postholder would work primarily on a recently funded programme of work to develop a novel approach to understanding and communicating the Safety of Medicines in
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Science, Optical Communication Engineering, or related field. Candidates at the PDRA level must have a PhD Degree in Computer Science, Optical Communication Engineering, or related topics. Applicants should have
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collaborate with bioinformaticians, experimentalists and clinicians. About You Essential requirements for this post include a PhD in a relevant biological or computational subject and background in
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About the Role The project “An Erlangen Programme for AI” (funded by the UKRI), will broadly involve applying advanced mathematical techniques for understanding training in neural networks, with
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computational methods (Efremova et al. Nature Protocols, 2020; Jain et al., Genome Biology). About You PhD in a biological or computational subject and background in working with genomics data. About the School
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also have or be close to completing a PhD in any of the following areas as well as the will and commitment to learn relevant topics from the other areas: Statistical and machine learning, mathematical
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PhD (or close to completion) or research qualification/experience equivalent to PhD level in the relevant subject area for the research programme; with a productive track record and have experience
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About the Role This role will involve undertaking the evaluation of a digital social intervention in primary care in England. A summary of the programme grant is found here. The individual will be
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collaborative and interdisciplinary and the ability to work in a team is essential. About You The successful candidate will be expected to have a PhD degree in biological or computational sciences or equivalent