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define observable events based on expert knowledge and available evidence. Development of a post-race analysis structure, process and data ‘toolkit’ that can build on historical understanding of race
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Please quote reference: Quantum Computing at The School of Physical Sciences Duration: 3 years and 6 months. We are currently recruiting for the following full-time, fully funded PhD studentship
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Type of award Scholarship Managing department Faculty of Science and Engineering Value The four-year funded A*STAR PhD programme at Manchester enables postgraduate researchers in science and
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have partnered with AWE to fund a 4-year Computational Project to use state-of-the-art Computational Chemistry techniques to understand structure-property relationships in oxide scintillators. We will
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are interested in interdisciplinary research across electrical engineering / electromagnetism, numerical methods, numerical mathematics, high-performance computing, and computational science. Time permitting, we
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Research Infrastructure? No Offer Description Two fully-funded 3-year PhD studentships are available in Neuromorphic and Bio-inspired computing at the interface between control engineering, electrical
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for an enthusiastic and self-motivated candidate with a first-class / high 2:1 degree in a relevant Engineering or Physical Science discipline, for example Civil Engineering, Geotechnical Engineering, Engineering
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measurement in construction. The skills, qualifications and experience required to perform the role are: Hold (or be close to obtaining) a PhD in Computer Science, Civil Engineering, Data Science, Information
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subject relevant to the proposed PhD project (inc. Mechanical Engineering, Aerospace Engineering, Chemical Engineering, Applied Mathematics and Physics). Ability to undertake scientific programming (e.g. in
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the successful candidate embarking on a PhD programme at LSHTM. It is anticipated that the role will lead to a further 18 month funded opportunity at Max Planck Institute for Demographic Research (MPIDR), in