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The Electrical/ Electronic and Mechanical Engineering School provides our learners with the knowledge and skills required by the engineering industry. We provide an excellent foundation for our
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Research Software Engineer ( Job Number: 24000615) Advanced Research Computing Grade 7: - £37,099 - £44,263 per annum Fixed Term - Full Time Contract Duration: 1 June 2024 - 31 July 2026 Contracted
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We are seeking to appoint an enthusiastic individual with a background in Mechanical Engineering and practical workshop skills to teach across a range of programmes to our vocational learners
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View All Vacancies This role is available to current employees within IT Services at the University of Leeds only Interviews are expected to be held 13 May and 17 May 2024 Salary: Grade 7 (£37,099 - £44,263 p.a. depending on experience) This post will be based on the university campus, with...
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Institute for People-Centred Artificial Intelligence (PAI), University of Surrey Senior Research Software Engineer in Creative AI (Level 5) Research Software Engineer in Creative AI x 2 (Level 4
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million investment planned over the next 5 years. Join us and become part of a dynamic, growing and innovative team. As a Senior Network Engineer, you will be a key member of the Infrastructure, Data
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(ISS) Team, with more than £40 million investment planned over the next 5 years. Join us and become part of a dynamic, growing and innovative team. As a Network Engineer, you will be an active member of
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View All Vacancies Do you have proven experience in digital content management and excellent communication and organisational skills? Do you want to work in a fast-paced team which is constantly learning and growing? We are looking for a digitally focussed professional to support the development...
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MLA College provides technology enhanced, online and distance learning courses, chiefly in the sectors of maritime, sustainability, engineering and business administration. We are registered with
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ABOUT THE ROLE This is a great opportunity to apply modern autonomous systems engineering and machine learning approaches to develop and deploy a system for autonomous inspection of wind turbines