63 computer-programmer-"https:"-"Inserm"-"FEMTO-ST"-"U" "https:" "https:" "https:" "https:" "UCL" positions at Cranfield University
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the methodology you propose to use to carry out your research, including the data sources and source material you plan to use. Suggest what you hope to discover at the end of your research and what new areas it
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multilayer printed circuit boards (PCBs). It draws from disciplines including electrical and electronic engineering, embedded systems, computer vision, and cybersecurity. The ability to verify hardware without
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via joint activities with EU and UK cybersecurity hubs, preparing you for careers in trusted electronics, AI security, and national critical infrastructure protection. Graduates from this programme will
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supervisor/s within the theme are recognised. This is a 12 month, 100% research programme where you will achieve your MSc degree by developing a desk/laboratory/field based novel research project. Our current
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demonstrated experience in being able to negotiate, plan, develop and successfully implement strategic large-scale projects and win national and international research funding. Due to the nature of this role
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A funded PhD studentship is available within the Autonomous and Cyber Physical Systems Centre at Cranfield University, Bedfordshire, UK. As aerospace platforms go through their service life, gradual performance degradations and unwarranted system failures can occur. There is certain physical...
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, highlighting its originality and significance. Outlines the methodology you propose to use to carry out your research, including the data sources and source material you plan to use. Suggests what you hope
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defence and security studies, and is lauded for the rigour, originality, international perspective and policy relevance of its doctoral programme. The Centre has delivered short training and long degree
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the diversity of activities and knowledge. A tailored programme of seminars and events, alongside our Doctoral Researchers Core Development programme (transferable skills training), provide those studying a
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This self-funded PhD opportunity explores assured multi-sensor localisation in 6G terrestrial and non-terrestrial networks (TN–NTN), combining GNSS positioning, inertial systems, and vision-based sensors to deliver resilient, high-accuracy positioning. The project sits at the intersection of...