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related discipline. This project would suit a candidate with a background in mechanical, control or aerospace engineering, physics, mathematics, or other relevant engineering/science degree. The ideal
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methodologies to study tyre–road contact physics. Providing new insights to better predict tyre–road friction. Based within both the Wolfson School of Mechanical, Electrical & Manufacturing Engineering and the
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computing. This project is ideal for students with a background in physics, materials science, electrical engineering, or a related discipline. Experience in optics and/or magnetism is desirable but not
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other characterisation studies on fast-charge technologies with WMG and is a collaboration between WMG and the School of Engineering. Publications from Prof Piper and Dr Loveridge (google scholar): https
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Research Studentship in Neural Engineering 3.5-year D.Phil. studentship Project: Sleep classification for implanted neurostimulation systems Supervisors: Dr. Joram van Rheede, Prof. Timothy Denison
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-class or 2:1 (or international equivalent) Master’s degree in Computer Science, Robotics, Mechatronics or Electronic/Electrical Engineering, or a related field. • Knowledge of machine learning/deep
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impact gut motility and immune function. However, our understanding of the influence of the neuroendocrine on our health is limited as current diagnostics such as stool biomarkers or intermittent endoscopy
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in decarbonising heat especially in rural, off-gas communities reliant on oil, LPG, and inefficient electric systems. While electrification remains a key pathway, limited grid capacity across
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shift from microwaves to mm-waves (ca. 30 – 300 GHz) or even Terahertz frequencies (ca. 0.3 – 1 THz). Current on-chip interconnect technology relies on printed circuit board (PCB), which is not suitable
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. Successful candidates will have an excellent background in Electronic and Electrical Engineering, Physics or a related subject area (first class degree or equivalent). We invite applications from highly