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predictive checking, model comparison) • Computational modelling with Python and Dynesty, JAX, NumPyro, and PyTorch • Use of asteroseismic and spectroscopic survey data (e.g. PLATO, Gaia, APOGEE, TESS) • High
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leading research, education, policy and industry sectors. Our innovative programme offers exceptional PhD training and supports a diverse portfolio of multidisciplinary research across the NERC remit. We
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good Master’s degree in Mathematics, Statistics, Computer Science, Engineering, Physics, with good programming, analytical problem-solving, writing and presentation skills. Please direct project specific
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strong upper second-class undergraduate degree in Chemistry, Physics, or a related discipline such as Mathematics or Computer Science, are encouraged to apply. The candidate is expected to have a strong
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Honours degree and a Masters, or a Distinction at Masters level with any undergraduate degree (or the international equivalents) in Computer Science, Engineering, or Physics, we would like to hear from you
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One fully funded, full-time PhD position to work with Prof. Mahesh Marina in the Networked Systems Research Group at the School of Informatics, University of Edinburgh. The broad aim
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experience to become a rounded scholar: £20,780 annual maintenance grant* Full coverage of PhD programme fees Higher Education (HE) teacher training and practice. This means that as well as pursuing your PhD
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coordinator and Sheffield PI for the HE VIGLANT project. https://sheffield.ac.uk/cs/people/academic/carolina-scarton The School of Computer Science at the University of Sheffield is recognised for research
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) clearance certificate prior to obtaining their visa and to study on this programme. How To Apply You must apply through the University’s Apply to Newcastle Portal Once registered select ‘Create a Postgraduate
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outline how you meet the essential criteria of the role and evidence this with examples. Key Accountabilities Contribute to the research programme in the field of Bayesian computational statistics as part