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Field
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electrical/mechanical engineering. Expertise in numerical electrical machine design tools (Ansys, JMAG, .etc) as well as corresponding scripting skills are desirable. Experience in electrical machine prototype
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of photocatalytic reactions and photocatalyst synthesis, the use of GC, BET, FTIR, GCMS, XPS, SEM and chemical analysis to understand the reaction mechanisms. Furthermore, the student will be trained in the critical
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. This project aims to dive into the dynamics of attack methodologies (e.g., Membership Inference, Property Inference) and defensive mechanisms (e.g., Differential Privacy, Machine Unlearning) within FL
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scholarship is suitable for students with a background in Engineering, Mathematics, and Computer Science. Students with interests in machine learning, deep learning, AI, intelligent decision making
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% of their time on teaching/related professional development. Teaching duties will be agreed annually with Programme Directors and tailored to the demonstrator’s expertise and career goals. Applicants will be
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home or international students) fully funded. A competitive Tax-free annual stipend for 3 years Requirements The candidate should have a 1st class degree (BEng or MEng/MSc) in electrical/mechanical
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interaction and origins of mechanical failure under pressure. They should have expertise in microelectrode arrays and multilevel high-density routing for large-area sensor systems. Experience in multicomponent
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of process and reveal the underlying mechanism governing catalytic activity, optimising reaction conditions for enhanced reaction performance. The comparison of the activity and product selectivity between
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including predictive modelling, computer vision and epidemiology. The student will join an established team of investigators, including statisticians, epidemiologists, image scientists, and clinicians
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gross salary) for 3 years An additional £2,000 per annum for consumables and travel Requirements The candidate should have a 1st or high 2:1 degree in electrical/mechanical engineering, physics