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This PhD project focuses on advancing computer vision and edge-AI technology for real-time marine monitoring. In collaboration with CEFAS (the Centre for Environment, Fisheries, and Aquaculture
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(computer vision technologies). The interdisciplinary nature of this PhD will require the integration of environmental science, engineering, and community science methodologies. Supervisors: Primary
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marine ecosystem management in the changing climate. Entry requirements: Applicants will normally need to hold, or expect to gain, at least a 2:1 degree (or equivalent) in Computer Science, Engineering, or
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AI Systems Engineer (KTP Associate) Other Academic Related grade 6 from £38,000 to £40,000 per annum, plus £2,000 per annum training budget. Department of Computer Science, School of Science
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Geography, Biology, Chemistry, Earth Science or Environmental Science, Computer Science, Engineering, or an appropriate Master’s degree. English language requirements: Applicants must meet the minimum
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: Applicants will normally need to hold, or expect to gain, at least a 2:1 degree (or equivalent) in Computer Science, Engineering, or an appropriate Master’s degree with good programming skills
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. School of Computer Science & Business School Sysdoc Job title: AI and Business Transformation (KTP Associate) Period: Full time, fixed term for 24 Months Salary: £40,000 - £42,000 per annum including
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Advanced Assistive Visualization using XR (Augmented and Virtual Reality) Development This role will be recruited to either a Senior Research Associate or Research Associate depending on the pool
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Science, Computer Science, Engineering, or an appropriate Master’s degree. English language requirements: Applicants must meet the minimum English language requirements. Further details are available
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’, please select ‘Loughborough’ and select the ‘Programme’ as ‘Mechanical and Manufacturing Engineering’. Please quote the advertised reference number of ‘FP-CTS/2-2025’ in your application. Applications must