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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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science, with applications to public and veterinary health, therapeutic development, and pandemic preparedness. You will contribute to method development, data analysis, and collaborative projects, and will
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, state-of-the-art laboratories, high-performance computing, and industry collaboration through the London Institute for Healthcare Engineering. About the role We are looking for a highly motivated
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the possibility of extension subject to funding. The UK Programme of Laser Inertial Fusion Technology for Energy (UPLiFT) is a 4 year £10M research programme funded by the UK government’s Department for Energy
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standard imaging analysis method including use of Python (NumPy/SciPy/PyTorch/Tensorflow), Matlab, C++, version control software (e.g. git), and statistical analysis using R, SQL, etc. Familiarity with
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standard imaging analysis method including use of Python (NumPy/SciPy/PyTorch/Tensorflow), Matlab, C++, version control software (e.g. git), and statistical analysis using R, SQL, etc. Familiarity with
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of Engineering Science (central Oxford). The post is funded by the EPSRC research funds and is fixed-term for up to one year. The successful applicant will have experience on using sequential decision-making methods
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-on experience in ceramic/polymeric membrane processing, familiarity with membrane characterization methods, and strong data analysis and communication abilities. Experience with scaling up membrane technologies
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cryoEM and cryoET you will ideally have background in at least one of these methods. You also should have a deep interest in mechanisms underlying basic biological processes at the molecular level
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Investigator). The applicant will make essential contributions to a research programme focussed on gut bacteria that produce a genotoxin, called colibactin The successful candidate will have extensive skills in