555 embedded-system-"https:"-"https:"-"https:"-"https:"-"Queen-Mary-University-of-London" Fellowship positions in United Kingdom
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responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to design, develop and evaluate schemes for quantum key distribution networks and
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We are seeking a Research Fellow to develop AI-enabled cloud analytics and BIM-based Digital Twin systems for real-time geometry monitoring and control in bridge and viaduct construction. Key
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Role Description This role will give you the opportunity to take a leading role in achieving the safe and responsible uptake of AI and Autonomous Systems (AI/AS) in application domains including
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Role Description This role will give you the opportunity to help achieve the safe and responsible uptake of AI and Autonomous Systems (AI/AS) in application domains including automotive, healthcare
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advantageous: Participation in Kaggle competitions, showcasing practical problem-solving and model development skills Model deployment (e.g., ONNX, TensorRT) Edge computing or embedded vision systems (e.g
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Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally
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Organisation Cranfield University Faculty or Department Faculty of Engineering and Applied Sciences Based at Cranfield Campus, Cranfield, Bedfordshire Hours of work 37 hours per week, normally
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working will be considered. Contract type: Fixed term contract Fixed Term Period: Until 1 December 2026 Salary: Full time starting salary is normally in the range of £37,897 to £45,580 per annum Apply by
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Opportunity: This is an exciting opportunity for a motivated researcher or developer to contribute to the design and delivery of IoT-enabled digital twin solutions for sustainable energy
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the performance of RF sensors in increasingly challenging operational environments. This work spans active radar, passive radar, and electronic support measures (ESM) systems, which were traditionally developed as