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challenge of our time, and it is more urgent than ever to act fast on reducing greenhouse gas emissions from current chemical manufacturing processes. Plasma technology provides a sustainable, fossil fuel
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explore multimodal learning and unlearning techniques using vision, language, and audio signals to build intelligent systems capable of interpreting and responding to human actions and emotions. This work
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, the objectives will be to determine associations with blood markers of appetite signalling and inflammation, and gut microbiome profiles in patients, and to determine the effect of cancer treatment
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of wind tunnel components in elite motorsport. This interdisciplinary project will develop a data-driven approach to understand and predict how process settings, build orientation, machine variability, and
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can provide rapid, low-cost detection of eDNA for aquatic biodiversity monitoring. The successful candidate will design and fabricate a cellulose-based LOC capable of water processing, eDNA capture, and
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restoration success and flood resilience elsewhere. Current models treat sites in isolation, lacking tools to predict these feedbacks. This three-year PhD will develop and apply cutting-edge numerical modelling
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processes and while this is a very specific application there are many uses for this type of technology and data. The ability to capture detailed movements of players over the entire pitch takes the landscape
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an alternative feedstock using chemical depolymerisation or other approaches. Explore opportunities to re-use material as an additive or filler product for other processes. Investigate sustainability
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preferred) Experience with processing and analysing remotely sensed data Experience with GIS and spatial data analytical techniques Experience with carrying out fieldwork in related fields (e.g. Geography