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parallelism in high-performance processors and in creating schemes within simulators such as gem5 or another tool. Familiarity with working in teams with robust engineering practices (version control
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Postgraduate Researchers in the School of Electronic and Electrical Engineering and the School of Chemistry. Holding a strong background in Atmospheric or Physical Chemistry, Engineering, Physics, or a related
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equations. You will be supported to explore new methods beyond your current experience and develop your expertise in new techniques in mathematics/statistics research. This position is funded by
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to present your work and represent the team. You must have a PhD* in CS or Engineering (Electrical/Electronics), with specialization in one or more of the following fields: Machine Learning and embedded
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globally by blending the rigour of high-quality impactful research, excellent teaching and being part of a technology-led university. We are ranked in the top 10 for business and economics in the UK by
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to develop low loss tapes suitable for use in tokomaks. The RAs will work in the CAPE building which is part of the Electrical Engineering Division of the University of Cambridge. The role of the RAs in
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tokomaks. The RAs will work in the CAPE building which is part of the Electrical Engineering Division of the University of Cambridge. The role of the RAs in the project is to help develop the PSALM low loss
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aspect of the research will involve the development of a rig for testing an Homogeneous Charge Compression Ignition (HCCI) free piston engine fuelled by hydrogen. The experiments will be conducted over a
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join the team of Professor Xin Tu in the Department of Electrical Engineering and Electronics at the University of Liverpool. Your role will include design, synthesis, testing and characterisation
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of a metastatic vertebra, coupled to a tumour model (under development by collaborators in UCL Mechanical Engineering), that can predict the stress distribution generated by a set of typical loading