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skills, especially in the programming of high order finite element methods on polygonal and polyhedral meshes, and a mathematical background in the analysis of finite element methods. Some understanding of
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studies, data presentation, etc. Candidates also proficient in quantitative methods will be highly valued, but such skills are not essential. The postholder will be a member of the Saïd Business School’s
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Mineral Supply ' project funded by . The aim of this project is to translate research methods pioneered by Durham University Earth Sciences (DU ES) on crystalline basement rock hosted oil reservoirs
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large suite of cosmological simulations designed for multiwavelength cosmological modelling. Once in hand, the candidate will use the simulations to explore novel analysis methods with the goal
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on probability estimation of rare events (such as jailbreak and social deceptive) in generative AI systems. More broadly, the research can also be on developing novel methods to specify, construct, evaluate
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Mineral Supply ‘ project funded by Northern Net Zero Accelerator . The aim of this project is to translate research methods pioneered by Durham University Earth Sciences (DU ES) on crystalline basement rock
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. Ability to use computer algebra software (e.g. Mathematica or Maple) for symbolic computations 2. Good numerical skills 3. Experience in field-theoretical methods (e.g. supersymmetry) 4
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designed for multiwavelength cosmological modelling. Once in hand, the candidate will use the simulations to explore novel analysis methods with the goal of applying them to data. Collaborative endeavours
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to support student projects on the use of research methods and equipment. To contribute to fostering a collegial and respectful working environment which is inclusive and welcoming and where everyone is
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, including methods for shape inference or reconstruction. Experience working with medical imaging data, such as ultrasound or MRI, including an understanding of common sources of noise, variability, and bias