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Field
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Investigator: Dr Abhishek Banerjee) to lead a research programme examining how the brain supports flexible behaviour in both mice and humans. The project centres on two complementary experimental streams. In
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by ATi/Innovate UK and Rolls Royce and is fixed-term to October 2029. You will join a world‑leading programme advancing experimental and numerical methods for predicting the performance of 3D woven
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by ATi/Innovate UK and Rolls Royce and is fixed-term to October 2029. You will join a world‑leading programme advancing experimental and numerical methods for predicting the performance of 3D woven
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expert partners, LRAs will harness interdisciplinary scientific methods to advance a new digital coast paradigm, nature-based solutions, and social innovation. Key responsibilities and duties: As a
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postdoctoral university assistant to complement the research team around Univ.-Prof. Ilaria Perugia, PhD. The focus of our research is in the area of Numerical Methods for Partial Differential Equations with
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and numerical methods for many-body dynamics beyond the reach of standard classical simulation. About the role We have a high preference for a candidates who is willing to start imminently, and before
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machine learning (ML) weather and climate models to improve physics-based models, while using physical understanding to enhance ML approaches. By integrating ideas from numerical weather prediction, climate
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to highly complex, two-way interactions between the wakes and the overlying atmosphere. While the wider project combines both experimental and computational tools, this position at Durham University focuses
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information sciences. In parallel with basic research, we develop ideas and technologies further into innovations and services. We are experts in systems science; we develop integrated solutions from care
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sphingolipid transport systems. You will determine high resolution single particle cryo-EM structures of sphingolipid transporters. In parallel, you will assess sphingolipid-transporter interactions and the role