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have a PhD in Electronic Engineering, Computer Science, Statistics, Applied Mathematics, Physics or another relevant discipline. This post is fixed term for 3 years. Any applicants who are still awaiting
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strong numerical component in Earth Science, Mathematics, or physical or chemical topic. Any applicants who are still awaiting their PhD to be awarded should be aware that if successful, they will be
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the behaviour of fluid-driven seismic events and will develop a physically realistic model based on computer simulations, novel laboratory experiments, and comprehensive field observations. The resulting model
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. Full details about the fellowships and the selection process can be found on the dedicated Faculty webpage. Requirements Research FieldHistoryEducation LevelPhD or equivalent Additional Information Work
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supported with the further development of their application. Full details about the fellowships and the selection process can be found on the dedicated Faculty webpage. Requirements Research FieldAllEducation
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the fellowships and the selection process can be found on the dedicated Faculty webpage. Requirements Research FieldAllEducation LevelPhD or equivalent Additional Information Work Location(s) Number
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both machine learning and symbolic AI. The discovery of new solid electrolytes is a core project target. You will have a PhD in Chemistry, Physics or Materials Science. The post is available from 1 May
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are looking to recruit a PDRA to join a collaborative project funded by the UK Atomic Energy Authority in partnership with Atkins and the National Physical Laboratory. The project will develop and test organic
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machine learning for functional materials design. You should have a PhD in Computer Science, Chemistry, Physics, Materials Science, or a related discipline, with a commitment to developing collaborative
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environment that this creates is central to all of the groups work. You must therefore be able to interact effectively with colleagues with complementary skills (e.g. structure prediction or measurement physics