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This post requires a highly motivated individual with academic and/or professional credibility and presence. You will be well established with extensive academic and/ or professional networks, and a strong track record of effective engagement and leadership. You will demonstrate many of the...
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This is an exciting opportunity for an ambitious and talented Test Engineer to join the Driving the Electrical Revolution Industrialisation Centre at the University of Nottingham and contribute
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subject to performance. Closing Date: Thursday 11 July 2024 Reference: ENG176224 This is an exciting opportunity for an ambitious and talented Test Engineer to join the Driving the Electrical Revolution
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for the decarbonisation of aviation. This is a European research project for the development of hybrid electric - fuel cell and gas turbine propulsion systems. The successful candidate will join a diverse, world class
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a broad range of electronics/electrical engineering skills and be able to demonstrate depth and breadth of specialist knowledge of technologies such as circuit design, programming, prototyping and
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Description of Post The Faculty of Engineering & Technology has a varied portfolio of industry and professional practice focused programmes. The Department of Computing within the Faculty
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Permanent Whole-time Post Applications are invited for the above permanent whole-time post in the School of Engineering and Architecture, dedicated to the Discipline of Electrical & Electronic
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, tutorials and embedded enrichment and work experience opportunities What you’ll bring You will come from a technology background (eg Electrical, Engineering, Motor vehicle, Design and Digital skills) and have
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, tutorials and embedded enrichment and work experience opportunities What you’ll bring You will come from a technology background (eg Electrical, Engineering, Motor vehicle, Design and Digital skills) and have
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completion) in Electrical or Computer Engineering Knowledge about Deep Learning algorithms, models, and their optimization techniques Knowledge of at least one of TensorFlow, PyTorch, etc. Effective