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or Materials Science. Experience in computational modelling (e.g. quantum chemistry) is essential. View DetailsEmail EnquiryApply Online
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fluid. A main application of this technology is for the detection of wall defects and leaks in pressurised water pipes. If you have a degree in Mathematics, Physical Science, or Engineering and a PhD (or
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Overview This post is funded by the Quantum Computing Hub (QCI3) supported by the Engineering and Physical Sciences Research Council (EPSRC). The QCi3 Hub is part of Phase III of the UK’s Quantum
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a 2:1 honours degree or an MSc with merit/distinction (or equivalent) in Chemistry, Physics or Materials Science. Experience in computational modelling (quantum chemistry or force fields) is essential
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of parallel computing (GPUs) to speed solution within the optimisation process. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant
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librarianship, data science, or another relevant subject OR experience of working on research projects OR other relevant experience Desirable Application/interview Knowledge of quantitative and/or qualitative and
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of landscape ecology and management. Communicate research findings/outcomes to the scientific community through publication in leading academic journals, and at conferences. Use a range of modelling and
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. To fill in this gap, in collaboration with industrial partners, the research will develop novel Machine Learning and Computer Vision methods for detecting and localising. These will be used to develop
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or Distinction) or equivalent in a relevant science or engineering subject from a recognised institution. The University’s standard English language requirements must also be met. Interested candidates
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, transcriptomics arrays and serological assays will be exploited to investigate biomarkers in cultured cells (primary supervisor). Field work at the Malawi Liverpool Wellcome Trust Clinical Research Programme will