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Field
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collaboration will use Vera Rubin/LSST transient data and the 4MOST Time-Domain Extragalactic Survey (TiDES) to address pressing questions in modern astrophysics: how stars explode and drive chemical enrichment
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in analysing and interpreting complex genomic data, integrating computational and experimental findings to advance our understanding of gene function in the developing brain and support the development
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Mary’s first University Research Institute dedicated to ground-breaking multi-disciplinary research in digital and data science, including artificial intelligence (AI). The role is jointly split with
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this, the postdoctoral researcher will combine machine learning, molecular dynamics simulations and high performance computing (Isambard AI). Applicants must have a PhD in an appropriate area of computational chemistry or
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hold a relevant PhD/DPhil or be near completion* in one of the following: Finance, Mathematics, Statistics, Econometrics, Computer Science, or a closely related subject (preference will be given to those
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adjustments will be made to support people within their role. Contact Information Department contact for academic-related enquiries Prof. Stefan NIelsen, Department of Earth Sciences, Durham University
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existing and develop new scientific techniques and experimental protocols, and test hypotheses and analyse scientific data. You will be expected to contribute ideas for new research projects, develop ideas
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the department and the funding agencies. The successful candidate will join the Machine Learning & Data Science research group and conduct research on the mathematical theory of deep learning as part of the joint
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, Organometallic, Organic Chemistry and Machine Learning for a period of up to 24 months. The project, funded by EPSRC, will involve exploring the use of machine learning to develop new tools for investigating
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to Nick Hawes (email: [email protected]). For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online applications received before midday on 21 September