14 phd-in-power-electronics Fellowship positions at UNIVERSITY OF SOUTHAMPTON in United Kingdom
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practical background is essential and you should have good skills in computer aided design and mechanical fabrication techniques, as well as the ability to critically assess prototype designs based on testing
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have, or will be close to completing, a PhD (or equivalent professional qualifications) with strong quantitative research methods in a relevant discipline (e.g. gerontology, statistics, demography
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imaging techniques. The successful applicant will be part of a multidisciplinary team constructing a new laser laboratory at the Rutherford Appleton Labs in Harwell, home of the most powerful femtosecond
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computer vision is required. Experience of efficient ML techniques, edge AI hardware platforms, low-power computing, earth observation is desirable. They will have excellent programming skills (Python, C
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in Python, experience of machine learning with scikit-learn and the ability to work collaboratively. This position is ideal for someone who has recently or is about to finish their PhD and is
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ability to contribute to the supervision of postgraduate students. Excellent communication and organizational skills, along with a proven track record in journal publications and conference presentations
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. Demonstrable ability to present work clearly both in written form and orally. Equality, diversity and Inclusion is central to the ethos in the School of Electronics and Computer Science. We particularly
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available. You should have the relevant educational background or work experience in metals and alloys, namely: the processing of alloys; microstructure characterization using advanced electron microscopy
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The SONNETS project is a new £6.5M EPSRC programme grant led by the school of Electronics and Computer Science in the University of Southampton, in collaboration with Imperial College London, and Newcastle
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. Immersive technologies will transform our experience of the physical world, from museums to cars and classrooms. Despite significant progress in the computer vision community, long-standing fundamental