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Field
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efficiency, reliability and compact packaging. This PhD will establish a requirement-driven design methodology for next-generation extreme-power-density electric machines by investigating combined axial–radial
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of surface water, groundwater, and probabilistic seepage analysis, together with modelling and uncertainty assessment techniques. Consideration of these interacting processes may help improve the accuracy and
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microstructural characterisation of constituent electric pump materials (electric steels, magnets, insulation materials etc) under cryogenic operating conditions. Key objectives are to provide the reliable material
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(between one and two weeks for each mission). A knowledge of various data processing techniques is essential, as is the ability to create reliable databases. Knowledge of the operation of an electrical grid
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vision, audio analysis and explainable AI methods. Rather than assuming that behavioural signals reveal personality, deception or suitability, the research will test whether any signals provide reliable
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. Experience working with geospatial data and spatial analysis, or the ability to learn. Experience analysing whole genome libraries, including quality control, sequence alignment, and calculating population
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specialist assessment, intervention and support at an earlier stage. However, subtle neuromotor indicators can be difficult to identify reliably through visual observation alone. This PhD project aims
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PhD students. The MoM section is recognized worldwide for its high-level research on experimental analysis, theoretical understanding and predictive modelling of complex thermo-mechanical behaviour (e.g
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evidence generation and reassessment. You will focus on how international HTA bodies anticipate it will shape their activities in the coming years. Assessing the extent to which GenAI tools can reliably
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reliably assess fatigue damage and predict remaining lifetime, enabling proactive maintenance strategies that extend service life and reduce CO2 emissions. Through this PhD scholarship, you will contribute