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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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to substantially advance the theory and practice of agent-based modelling. The project will involve some theory, programming, and systematic experimentation – the precise focus will depend on the expertise and
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for the MSc and MPhil in Visual, Material and Museum Anthropology (VMMA) postgraduate degrees. The programme consists of a one-year MSc and a two-year MPhil degree that focus on theories and methods within
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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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publications on AI security. You will also prepare working theories and analyse data from a variety of sources, contribute ideas for new research projects, act as a source of information and advice, and
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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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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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(e.g. Psychology, Psychiatry) together with relevant experience. They will have sufficient specialist knowledge in cognitive theory and mental health in autism, including in relation to trauma/PTSD and
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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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challenges of our time. Duties include; • adapting existing and developing new research methodologies and materials • contributing to the development of new theories • analysing