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PhD in Quantum Error Correction and its Applications School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Yingkai Ouyang, Prof Pieter Kok Application Deadline: 15
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for a given coastline morphology and flood hazard profile to minimise inland inundation, assessed using coupled CFD and inundation modelling? - How can the optimisation process balance flood reduction
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or master’s course with substantial mathematical content, e.g. mathematics, statistics, physics, management science, or computer science. Early applications are encouraged, as candidates will be invited
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develop a robust, new methodology for assessing future drought risk. It will use a wide range of climate projections (UKCP, CMIP6, and SMILES) and physically-based river models to generate a wide range of
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pathways, whilst their omission can introduce significant systematic biases in parameter estimation, detection pipelines, and tests of fundamental physics. In this PhD project, you will develop a
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. Development of novel processing techniques Modelling techniques that can inform the direction of experimental activity Physical, mechanical and materials characterisation techniques Data-driven approaches
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The Centre for Doctoral Training in Nanoscience and Nanotechnology (NanoDTC) at the University of Cambridge invites applications for its 3.5-year interdisciplinary PhD programme. The programme
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. This link is unique to the MIBTP programme; please do not use any other link to apply to this project or your application may be rejected: https://sits.bham.ac.uk/urd/sits.urd/run/siw_ipp_lgn.login?process
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subject (for example physics, mathematics, or computer science) but experience of cell or molecular biology is highly valued. A strong interest experimental cancer biology is essential, but prior wet-lab
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to how well they meet the following criteria: A first class (or strong 2:1) degree in any of Engineering, Materials Science, Computer Science, Physics, Biology/Biotechnology, Chemistry/Biochemistry