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Research theme: Textiles How to apply: https://uom.link/pgr-apply-2425 How many positions: 1 This 3.5 year PhD project is funded by The University of Manchester and an industrial partner and the
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mix will include clean energy resources, mostly variable renewable energy resources, and nuclear. Second, the electricity demand is expected to double to accommodate newly electrified energy uses
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. While autonomy is becoming more integrated into modern mobility, the reliability of Position, Navigation and Timing (PNT) systems—especially in environments where GNSS signals are denied or degraded
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no generalised agreement about the qualities that determine whether the model is good or not. The focus of this project is whether the model is good enough for the point in a project’s lifecycle and not whether
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to reach carbon net zero by 2050. Between 40 to 50% of the carbon footprint of a litre of milk is attributed to CH4 production in the rumen (Huhtanen et al., 2022) which also has a negative impact on animal
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per year for 3.5 years. Lead Supervisor’s full name & email address Dr Massimiliano Fasi: m.fasi@leeds.ac.uk Project summary The growing importance of artificial intelligence is fostering a paradigm
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Short overview of PhD opportunity The PhD studentship aims at studying and developing more comprehensive user interfaces for computer-aided decision-making processes, which can benefit from 3D/360
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The abuse of older people is one of the most abhorrent, growing, yet under-researched problems in modern society. Among the reasons for this is the lack of reliable datasets to understand the scale
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Background Access to healthcare is an ever-increasing global issue. Over 15% of the current global population require rehabilitation care, but the majority of them do not receive healthcare access
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solutions for maritime propulsion systems. The primary aim of the project is to design and implement a flexible, high-performance control strategy for an integrated power system consisting of an ammonia