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developing innovative probabilistic methods to tackle fundamental problems at the intersection of spectral geometry, mathematical physics, and number theory. By exploring the geometry and spatial features
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the John Templeton Foundation. Gravity from Entropy is a statistical mechanics approach that derives gravity from principles of information theory and differential geometry. The aim of the project is to
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the John Templeton Foundation. Gravity from Entropy is a statistical mechanics approach that derives gravity from principles of information theory and differential geometry. The aim of the project is to
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array geometries for improved OLED device performance. The tasks include design, fabrication and experimental characterisation of the OLED devices. The fabrication utilizes wide departmental
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reproducible fabrication, assembly and quality-control procedures using the cleanroom facilities at the London Centre for Nanotechnology. You will characterise device geometry, porosity, surface chemistry
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out research in Model Theory and related fields as part of the EPSRC standard research grant “Pseudofinite Geometry”. They will be expected to conduct research which falls within the remit
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in one or more of the following areas: multi-view 3D reconstruction; computational geometry and 3D vision; plant or crop modelling; computer vision for robotics; multi-modal and multi-spectral sensing
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, Isomap), manifold learning, and machine-learning classifiers to extract neural geometry metrics from both species. Systematically compare behavioural and neural data across mice and humans, identifying
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, and presenting results at international conferences. Assisting with the filing of intellectual property and technology transfer. Supervising the activities of junior group members and mentoring PhD