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Research. This is a unique opportunity for enthusiastic early-career researchers to contribute to an established team that has already made important scientific impact, advancing our understanding
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related to gravitational wave astronomy. The primary aim will be the development of advanced approaches for computational Bayesian Inference to measure the properties of Compact Binary Coalescence signals
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Materials Science, a large School with 70-80 academics and a similar number of postdoctoral research staff. There are around 1000 undergraduate and taught postgraduate students and 220 PhD students, supported
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Experimental Particle Physics, Theoretical Physics, and Condensed Matter & Materials Science. Space & Astrophysical Plasmas group has a long history of high-quality research and is part of the Astronomy Unit
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imagination for atomistic structure and dynamics; an interest in fundamental science with real-world applications; and both the initiative to work independently and the skill to collaborate in a
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developmental science. The successful candidate will contribute to a major research programme investigating how educational experiences shape mental health from childhood into adulthood. The role involves working
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area of organ-on-a-chip technology. About the School/Department/Institute/Project School of Engineering and Materials Science, a large School with over 108 academics. There are around 2500 undergraduate
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to work on a project investigating mechanosensing in flies (Diptera). This post will focus on using detailed wing geometry models and free flight kinematic measurements in computational fluid and structural
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Astronomy which hosts world-class research across a range of areas including Experimental Particle Physics, Theoretical Physics, and Condensed Matter & Materials Science. Space & Astrophysical Plasmas group
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and statistical modelling, statistical image analysis and computer vision, chemometrics, biophysics, bioengineering. Preference will be given to candidates with a demonstrated experience in applying