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Applicants should have a good first degree in mechanical/aerospace engineering or computing, maths or physics or any other relevant topic. An MSc or relevant work experience will be beneficial. Knowledge
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have an equivalent of a 1st or 2:1 UK honours degree or MSc degree (Distinction/Merit) in engineering, computer science, or other closely background. Experience with ROS, and proficient programming
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characteristics, at hypersonic speeds, that are likely to adversely affect multibody separation. The research encompasses experimental and computational elements to evaluate the aerodynamics of multibody separation
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delivered through complex systems and enterprises comprising people, information, processes and technology. The Centre of Excellence for Complex Systems creates, utilises and promotes systems thinking and
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environmentally friendly aircraft. It will also inform research strategies and technology roadmaps including the development of future test campaigns and flying demonstrators. Furthermore it will further develop
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applications from enthusiastic and motivated people, keen to develop their technical career in science! About the Role This role will provide basic but specialist technical support for our anaerobic digestion
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This research opportunity aims to hire PhD students as a self-funded program. By analysing retinal images with deep learning technology, early detection of Alzheimer’s disease may be possible. By
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) Country United Kingdom Application Deadline 30 Jun 2024 - 23:59 (Europe/London) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by
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for transformational research and education in technology and management. Research Excellence Framework 2021 (REF) has recognised 88% of Cranfield’s research as world-leading or internationally
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or equivalent in in Design, Engineering, Computer Science/IT or a related subject. Experience in system design, and/or manufacturing is preferred, and digital technologies is required. It welcomes