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Integrating and Predicting Responses of Natural Systems to Disturbances . About you The successful candidate will develop and test new theoretical and computational frameworks linking population and community
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, economics, and other areas of computational social science; • AI scientists for natural science, integrating LLM agents with simulation and, where appropriate, robotic experimentation (e.g., automated “dry
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-linear systems of ordinary differential equations and the proficient use statistical programming languages (R, Julia or Python), Bash computing and the development of computational packages are essential
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. The study will involve computational modelling of dynamic aperture and coherent instabilities based on single- and multi-particle tracking simulations, as well as designing and conducting experiments
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accreting black holes in the research group of Dr James Matthews. Our overall aim is to better understand the physics of jets and winds in accreting black hole systems across the mass scale. We try to answer
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. Successful candidates should hold a PhD (or be close to completion) in a relevant area of astrophysics or physics, and should have experience in Type Ia supernova cosmology (e.g., supernova modelling
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to enable robust robot autonomy in complex, real-world environments. The post sits within our EPSRC Programme Grant in Embodied Intelligence and will advance the state of the art in localisation and scene
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will contribute to the development of a new simulation-based pre-training framework for building more robust and trustworthy machine learning-based clinical prediction models. Funded by the Medical
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measuring a molecule’s size and shape in the solution phase (Science 2025). Our microchip-based escape-time technology platform now enables measurements of the physical properties of macromolecules such as
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute