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sensors to deliver resilient, high-accuracy positioning. The project sits at the intersection of navigation, AI-enhanced signal and data analysis, and wireless communication systems, with applications in
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the interaction between fuel characteristics and hybrid powertrain configurations, optimising combustion, fuel injection, and mixing processes for carbon-neutral or low-carbon fuels. Develop system-level models and
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capable of leveraging signals from terrestrial base stations, non-terrestrial networks such as LEO satellite, and complementary on-board sensors. Specifically, it will: To design reconfigurable airborne
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dynamically combine trusted and opportunistic signals. This project aims to develop versatile benchmarks for assured multi-domain PNT systems with advanced integrity frameworks, enabling rigorous evaluation and
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Programming Intelligent Modelling and Analysis Mixed Reality Lab Lab for Uncertainty in Data and Decision Making Visualisation and Computer Graphics Responsible Digital Futures The studentships available
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the likely clinical outcome and aligning this with the patient’s known individual goals and preferences. The planned mixed-methods PhD will incorporate a scoping review, a data linkage study, and qualitative
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to be awarded you will be appointed at Grade 6, spine point 30. Upon written confirmation that you have been awarded your PhD, your salary will be increased to Grade 7, spine point 31. Commitment
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at Grade 6, spine point 30. Upon written confirmation that you have been awarded your PhD, your salary will be increased to Grade 7, spine point 31. Commitment to Diversity The University of Liverpool is
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processes. Small oceanic flows on the 1-10 km range (submesoscale) have attracted lots of attention for their role in heat mixing, energy transfer, and air-sea interactions. They have been related to a
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be used to emulate expensive climate model processes, such as sea-ice rheology and vertical mixing in the ocean, to deliver forecasts at lower computational cost? This project will develop surrogate