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biology methods, and neurological disease modelling or testing therapies in these model. Advanced IT proficiency including electrophysiological and imaging data processing and experience with statistical
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: “Chaos and Coarse-Graining in Holography: Towards a New Paradigm for Quantum Gravity”, which is funded by a UKRI Frontier Research Grant (ERC Starting Grant) and led by Principal Investigator Dr Felix
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part of one of the following two projects: “Chaos and Coarse-Graining in Holography: Towards a New Paradigm for Quantum Gravity”, which is funded by a UKRI Frontier Research Grant (ERC Starting Grant
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normally, a higher degree relevant to research area or equivalent qualifications/experience Knowledge & Experience: Desirable: A PhD (or close to completion) in any area of Business Management, Psychology
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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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will allow.) The role will be available for 36 months. About you Successful candidates must have a Postdoctoral qualification (PhD), (or be in the process of submitting a PhD) in Immunology or
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. You will have a PhD, or be near to completing a PhD, in geophysics, geostatistics, physics, applied mathematics or a similar discipline with a strong background in data analysis or imaging as applied
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is aimed at early career academics and innovators who are transitioning to, or establishing independence. Typically, successful fellows will have finished their PhD, published several lead-author
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inspection, develop a database of raw and processed thermographic images of different defects - geometries on composites, test of thermographic image processing tools and techniques (all applicable
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participant support during the two-month treatment period. As part of this role, the successful candidate will develop related research proposals and projects as part of a PhD programme under the primary