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Faculty of Computing, Mathematics, Engineering & Natural Sciences Funded PhD Project (UK or International Students) Funding provider: Northeastern University London (NU London) Subject areas
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Department of Public Health and Sports Sciences, St Luke’s Campus, Exeter The University of Exeter’s Department of Public Health and Sports Sciences is inviting applications for a PhD studentship
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Location: Department of Computer Science, Streatham Campus, Exeter The University of Exeter’s Department of Computer Science is inviting applications for a PhD studentship funded by the Faculty
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of these complex, multi-omic single cell and spatial transcriptomics datasets and is therefore ideal for those with an interest in computational biology, bioinformatics, computer sciences and/or genomics
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PhD programme a First-class Honours degree, or a 2:1 Honours degree and a Masters, or a Distinction at Masters level a degree (or the international equivalents) in engineering, earth science
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or equivalent in in Design, Engineering, Computer Science/IT or a related subject. Experience in system design, and/or manufacturing is preferred, and digital technologies is required. It welcomes
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quantum computing devices, based on existing technology, which will be more flexible and less demanding than quantum annealers in terms of complexity, accuracy and protection from decoherence. Our approach
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of state-of-the-art Computational Chemistry techniques, and you will extend the boundaries of computational materials design through the combination of cutting edge electronic structure simulation techniques
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in Design, Engineering, Computer Science/IT or a related subject. Experience in system design, and/or manufacturing is preferred, and digital technologies is required. It welcomes applications from
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PhD Studentship: Data-driven Probabilistic Modelling of Clonal Dynamics in Human Tissues and Cancers
. The project is therefore suitable for students with a background in (but not limited to): • Applied Mathematics or Theoretical Physics • Computational Biology or Bioinformatics • Computer Science or Engineering