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Research Assistant on Session Types: Theory and Programming Semantics Fixed-term until 30 September 2026 to start from 1 October 2025 Grade 06: £34,982-£40,855 per annum inclusive of Oxford
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The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity
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first degree in Engineering or Mathematics with specialization in control systems and have completed or be about to complete a doctorate in Control Theory/Dynamical Systems or a highly relevant subject in
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This post is a postdoctoral research assistant role within Prof Robert House’s Group in the Department of Materials. The post will be for up to 3 years in association with a new Faraday Institution-funded project entitled “Accelerated Development of Next Generation Li-Rich 3D Cathode Materials...
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discoveries on the electrosolvation force. The project will use a range of optical methods to examine the interactions in colloidal and molecular systems and relate the experimental findings to theories
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properties of Li-rich three-dimensional materials for lithium battery cathodes using density functional theory (DFT), molecular dynamics, cluster expansion, machine learning computational techniques. This work
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, including but not limited to Earth Sciences, Physics, Mathematics and Engineering, together with relevant experience. You will possess sufficient specialist knowledge in either volcanic plume dynamics and/or
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from theory appropriate fluid-wall microenvironments to enable these workflows. It will also be required to develop programs and workflows to maintain cell culture for extended periods of months
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good understanding of the relevant basic theory, skills in data analysis and numerical modelling, and a strong research track record. Please direct enquiries about the role to: Only applications received
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methodology, theory, and applications across the areas of Bayesian experimental design, active learning, probabilistic deep learning, and related topics. The £1.23M project is funded by the UKRI Horizon