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-preserving embedded AI device to reduce household carbon emissions through smart appliance energy profiling and explainable feedback mechanisms. The successful candidate will play a key role in delivering a
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Research theme: Applied Mathematics, Continuum Mechanics, Liquid Crystals Application deadline: All year round The successful candidate will join the PhD programme of the Department of Mathematics
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developed at Manchester to include heterogeneous magnetohydrodynamic phenomena (including current density localisation), solid-dynamics and fracture mechanics. The development of such a robust mathematical
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Research theme: Fluid Mechanics, Machine Learning, Ocean Waves, Ocean Environment, Renewable Energy, Nonlinear Systems How to apply: How many positions: 1 Funding will cover UK tuition fees and tax
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requirements: First-class or upper second-class degree (or equivalent) in Chemical/Process/Electrochemical/Mechanical/Electrical Engineering, Chemistry, or Physics, or relevant industrial experience
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ways, mechanical properties test (such as tensile test, etc.) and some highly advanced microstructural characterisation such as SEM (Scanning electron microscope), XRD (X-ray diffraction) and TEM
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play a very vital role in the operation and availability of rotating machinery. Despite successful implementations in industrial applications, CM of bearings still poses many challenges. One
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platforms at both locations, providing the student with hands-on industrial experience as well as cutting-edge research insight. Description The global drive towards electrification in high-performance
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to test data, which are therefore only useable within a narrow range of scenarios. These limitations result in the requirement of large number of high-cost experiments being conducted to populate the models
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experiments and randomised controlled trials, including the use of stable isotope approaches to measure muscle loss and the underpinning mechanisms, to investigate why GLP-1 drugs cause excessive muscle loss