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developing new research methodologies • contributing to the development of new theories • analysing qualitative and/or quantitative data, reviewing refining as appropriate
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used in our work centre around optical imaging and spectroscopy and nanofabrication. The work also relies on theory and simulation, specifically focusing on numerical mean-field electrostatics
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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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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
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theory proposed by Urbanczik & Senn (2014, Neuron) suggesting that plasticity is driven by prediction errors generated within neurons when the activity in dendrites does not match the activity in the soma
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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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theory-focused, the position encourages engagement with experimental partners, including those in industry. The project will support research visits and joint activities with these collaborators