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Field
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knowledge in the discipline and of research methods and techniques to work within established research programmes. Applicants will be able to work with data from numerical weather prediction (NWP) models and
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experience in research in the areas of numerical and experimental methods in thermal power systems. Good understanding of solid fluid interaction in rotating machinery is required. Prior experience in
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on cooling. The successful candidate will undertake research duties to support the work programme of the Impact Delivery project ‘Tool for quantifying the long-term thermal imbalance of ground-source heat
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methods of quantum information processing. Our goal is to achieve JoFETs by utilizing hybrid devices based on silicon and high-quality superconducting silicides. Remarkably, silicides hold promise
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combs and their applications in neuromorphic computing and high-speed optical fibre communications. You will also be involved in the design, development and numerical modelling of novel signal processing
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English Ability to work in a team Desirable criteria Numerical skills, such as: Monte Carlo methods, Density Matrix Renormalisation Group or Truncated Conformal Space Approach Knowledge of quantum field
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thousand years using diatoms as the main proxy, alongside other stratigraphic methods. These new records of past relative sea-level (land level) changes will be compared to existing records to reconstruct
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to completion of) a PhD/DPhil in geotechnical engineering, along with experience in numerical methods, including the implementation of soil constitutive models in finite element code. You should have excellent
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areas of the group include stochastic processes, mathematical finance, and probabilistic transport theory. Our ideal candidate already has experience with modern methods in probability theory
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all aspects of the research programme. We’d like to hear from candidates with experience of mixed methods clinical research, co-designing or adapting complex healthcare interventions, knowledge