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near completion) in materials or chemistry and experience in battery research. You will have expertise in a range of synthesis techniques and advanced materials characterisation tools such as X-ray
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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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position within a Research Infrastructure? No Offer Description About us The Department of Chemistry is a dynamic and collaborative environment within the Faculty of Natural, Mathematical and Engineering
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researchers and PhD students, pursuing research in many aspects of field theory, string theory, and integrability (for more information, see www.hw.ac.uk/uk/schools/mathematical-computer-sciences/research/maths
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postdoctoral experience, in computational/mathematical biology (this includes PhD students who are near completion but have yet to submit). However, talented candidates from a wide range of disciplines
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supervise junior researchers. Uphold best practice in ethics, data management, and research governance. About You To demonstrate at least one of the following : A PhD (or near completion) in computer science
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networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity rules which enable effective learning in large and deep networks and is consistent with
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"Mathematical Data Science" research group at the University of Vienna (led by Prof. Dr. Philipp Grohs) and the "Computational Partial Differential Equations" research group at TU Wien (led by Prof. Dr. Michael
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to the clinic The post holder will be based in the Department of Biomedical Computing as part of the School of Biomedical Engineering & Imaging Sciences, King’s College London, a vibrant community of engineers
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(or have recently submitted) in a relevant subject (climate, meteorology, physical geography, earth and environmental sciences, physics and astronomy, applied mathematics, statistics, computer science