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) benefiting from the exceptional network of academics at the University of Oxford, including the Oxford Volcanology group. About you You will hold or be close to the completion of, a relevant PhD/DPhil
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PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets Experience in statistical or scientific programming (ideally R and/or
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mathematical and computational techniques, it is essential to have experience in mathematical modelling / dynamical systems theory / numerical methods / coding. An ideal candidate would have a PhD, or
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A position exists for a Post Doctoral Research Associate in the Department of Applied Mathematics and Theoretical Physics to work on rigorous mathematical analysis of geophysical fluid equations
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mathematical and numerical tools? Are you an innovative and productive team player who enjoys working in an interdisciplinary team with a background ranging from mathematics and theoretical physics all the way
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on administrative tasks in research, teaching and administration. This is part of your personality: Completed doctorate/PhD degree in statistics, mathematics or a closely related discipline (completed
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. To address these questions, we combine a series of interdisciplinary approaches ranging from experimental embryology and fluorescent microscopy to mathematical modelling. The lab is highly interdisciplinary
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instruction or plan/ deliver seminars relating to the research area. The successful candidate will have or be about to receive a PhD in mathematics, engineering or a closely related area, and have experience in
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postdoctoral researchers and PhD students, pursuing research in many aspects of field theory, string theory, and integrability (for more information, see https://www.hw.ac.uk/uk/schools/mathematical-computer
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scholars in Law and two PhD students (one in Law and one in Computer Science/Data Analytics), as well as with international, European and national stakeholders involved in the CURE project. The post-holder