147 parallel-and-distributed-computing-phd positions at University of London in United Kingdom
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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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involves high level of collaboration with both the QMUL Space Plasma Group and the QMUL Detector Development Group. About You The successful candidate will have a PhD (or equivalent experience) in the field
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to global health, gender violence and violence in childhood, and medical humanitarianism. We offer a vibrant and diverse research degree programme, with over 100 PhD and DrPH students from more than 40
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develop, synthesise and characterise materials for this project. About You The post is suited to a PhD graduate with a background in materials chemistry or a related discipline. If you have a vivid
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project investigating mechanosensing in Diptera. This post will focus on using detailed wing geometry models and kinematic measurements in computational fluid and structural dynamics simulations to recover
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Institute (BCI) in London, with an ideal start date of July 2025. About You The successful candidate will be highly-motivated, have a PhD (or close to completion)* in a biological or computational discipline
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About the Role This Postdoctoral Research Associate (PDRA) position is part of an exciting EPSRC-funded programme, "Enabling Net Zero and the AI Revolution with Ultra-Low Energy 2D Materials and
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. There are around 1000 undergraduate and taught postgraduate students and 220 PhD students. These are supported by an administrative and technical staff team of 45. The staff and student body are international in
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have a PhD and track record in either computer science with specialisation in relevant AI technologies for surrogate modelling, or in Earth or Environmental Science with a strong track record in
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exciting and dynamic environment, home to 450 staff, 100 PhD students and c500 postgraduate taught students. It harnesses expertise across a wide range of population-based research and education activities