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of healthcare by examining the impact of bottom-up communities and networks promoting change. Healthcare accounts for approximately 5% of the UKs total carbon emissions, and significant activity is underway
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network attractors, funded by The Leverhulme Trust. This is a brain inspired project in the field of Neurodynamics. Networks of oscillators are ideal candidates for modelling patterns of functional
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Fully-funded PhD Studentship: Adaptive Mesh Refinement for More Efficient Predictions of Wall Boiling Bubble Dynamics This exciting opportunity is based within the Fluids and Thermal Engineering
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Heritage Laboratory (N-MESH) initiative which has members across all five University of Nottingham Faculties. Find out more about N-MESH and the broader UoN facilities available here: https
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Background Network Rail operates several telecom networks which provide connectivity for various signalling systems. Therefore, the performance of telecoms assets is integral to how the railway system operates
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Heritage Laboratory (N-MESH) initiative which has members across all five University of Nottingham Faculties. Find out more about N-MESH and the broader UoN facilities available here: https
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challenging. Characterising the mechanical behaviours of thin foils at elevated temperatures is crucial in defining the load capability of aerostructures during the forming and joining processes. This PhD aims
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emissions from transport. Decarbonising aviation is a vital part of achieving net zero. Hybrid and ‘all electric’ aircraft technologies offer a pathway to net zero. The electrification of aircraft, for both
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, forms part of the new Nottingham Materials and Environmental Science for Heritage Laboratory (N-MESH) initiative which has members across all five University of Nottingham Faculties. Find out more about N
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entitled “White Matter Computation: Utilising axonal delays to sculpt network attractors”. The central aim of the project is to determine how dynamic patterns of neural activity evolve in a complex network