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About the Role An exciting opportunity has arisen for an Application Engineer to join the Power Electronics, Machines and Control Institute (PEMC) at the University of Nottingham. This is a hands
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structural biology tool, in combination with several other complementary techniques, in particular cryo-Electron Microscopy (cryo-EM), but also Mass Spectrometry (MS), Small-Angle-Scattering and Fluorescence
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platforms, with a view to contributing to the manufacturing challenges of self-powered sensors and harvesting to help establish a suitable framework for its exploitation. This is a part-time appointment with
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outputs across Projects 3-1 and 3-2 Manage and process large sets of operational data for case study analysis Contribute expertise in power grid optimisation to enhance planning models Participate in
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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of electronics, including circuit design, PCB layout, and hardware troubleshooting. Has relevant competence in the areas of Radio Frequency design and measurement; Familiarity with high-power amplifier systems is
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motivated Research Associate/Fellow in Electrical Machines to join the University of Nottingham's Power Electronics, Machines and Control (PEMC) group — one of the UK's largest and most ambitious research
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publications, commercialisation, and/or dissemination as open-source designs. The ideal candidate might be from an academic (e.g. PhD/Postdoc in a related engineering/electronics/sustainable engineering area) or
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new technology for monitoring the placenta. This involves the integration of optical and electrical human body sensors into an electronic system, their characterisation and measurements on pregnant
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). Main Duties Develop research objectives and proposals for own or joint research, with assistance of a mentor if required Bring the ability to invent new, or adapt existing, methodologies. Contribute