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- bermet.ishenbekova@ucentralasia.org
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to combine structural biology with the latest advances in computational protein science, shaping ambitious programmes that bridge fundamental discovery with translational application. The postholder will join
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computers”(under the UKRI Guarantee scheme). Topics include: - Quantum many-body dynamics - Quantum algorithms - Quantum-enhanced numerical methods - Quantum machine learning - Tensor Networks - Topological
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approached by tools in both computational chemistry and applied mathematics. Specifically, the project involves the development of mathematical modeling strategies at both numerical and analytical level to
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researcher to develop expertise in clinical trial process evaluations. We have secured funding from the National Institute for Health Research Health Technology Assessment Programme to undertake a randomised
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role provides the opportunity to combine structural biology with the latest advances in computational protein science, shaping ambitious programmes that bridge fundamental discovery with translational
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translating research into real-world health benefit. You will develop expertise across epidemiology, building science, and exposure modelling — contributing to an ambitious international programme with direct
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in the UK. We pride ourselves on delivering high-quality teaching and diverse, real-world research. We specialise in biosciences, chemistry, computing and technology, as well as engineering, forensic
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. The prestigious Glasstone Research Fellowships in Science are supported by the Glasstone Bequest, which was set up to encourage scientists at an early stage of their career to follow their research interests
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21 Nov 2025 Job Information Organisation/Company Northumbria University Department Geography and Natural Sciences Research Field Environmental science » Earth science Physics » Other Researcher
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Are you passionate about developing numerical algorithms or high-performance software for scientific computing? Do you have expertise in numerical linear algebra or experience with large-scale