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grant to investigate “Connecting interchange reconnection to switchbacks in the solar wind”. Candidates with a strong track record in MHD modelling, and/or familiarity with solar wind observational data
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are seeking a highly-motivated and ambitious researcher with a strong background and experience in RF/microwave engineering, additive manufacturing, and AI modelling to work on cutting-edge research in
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, electroweak and Higgs physics, flavour physics, model building, Monte Carlo simulations, precision standard model physics, neutrino physics, particle astrophysics, strong interactions and novel computational
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learning models represent information internally and how their predictions can be made transparent, reliable, and clinically meaningful. This work will involve developing and applying interpretability
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system modelling and analysis or related subject. Experience Experience in conducting high quality academic research on system optimisation methods. Strong publication record in peer-reviewed journals
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computational cosmology research, having previously played key roles in the development of simulation techniques for dark matter, dark energy and galaxy formation, and in the establishment of the Lambda cold dark
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in crystal synthesis, characterisation and modelling to study and generate a new understanding of MoSS. These advances will have applications across multiple sectors, including pharmaceuticals
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Etchells at Durham Biosciences and Dr Natasha Savage at the University of Liverpool, aimed at understanding cambium development in the model species Arabidopsis. The position is based in Durham in the lab