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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
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with biologists. You will report to the engineering lead on the project About the role The project will aim to develop fluid walls and associated automation workflows to enable microscale cell-based
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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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About the role Dr Zhenyu Cai’s research group in the Department of Engineering Science seeks a highly motivated and exceptionally talented quantum theorist to lead projects aimed at developing a
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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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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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About the role Applications are invited for a Postdoctoral Research Associate in Organic Luminescent Materials to work under the supervision of Dr Daniel Congrave for a period of up to 1 year with a
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gene testing panels for Black men, and to guide future policy around the implementation of genetic risk scores. The post will include: Whole genome sequencing-based genome wide association studies