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Organisation Cranfield University School/Department Education Services Based at Cranfield Campus, Cranfield, Bedfordshire Hours of work 37 hours per week, normally worked Monday to Friday. Flexible working will be considered. Salary Full time starting salary is normally in the range of £28,203...
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Data Lead, on (T): 01234 752980 or (E): [email protected] Apply online now . Please do not hesitate to contact us for further details on E: [email protected] . Please quote
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. About the Role Your role will lead the development of an intelligent novel platform that assesses planned events to a) make recommendations to reduce the environmental impact and, b) verify event-based
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manufacturing and process or material science. About the Role This is an exciting opportunity for you to contribute to a new industry project funded by Airbus on the optimisation of next-generation landing gear
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to £40,347 per annum We welcome applications for this key research post from those with relevant knowledge and experience in advanced welding processes, additive manufacturing and process or material science
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-physical Systems at Cranfield. This exciting new role is co-developed with the Defence Science and Technology Laboratory (DSTL) and dedicated to the identified future research areas of novel human-swarm
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for Autonomous and Cyber-Physical Systems. About the Role Our reputation for leading in the field of digital systems: sensor data and signal processing for position, navigation and timing, and machine learning
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Research Group in the Centre for Autonomous and Cyber-Physical Systems. About the Role Our reputation for leading in the field of digital systems: sensor data and signal processing for position, navigation
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to meet customer and legislative requirements. This can include: Physically preparing and constructing static and dynamic test rigs. Performing mechanical workshop machining tasks, including welding
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class research, driving technological and conceptual advances in aeronautics, propulsion & thermal power engineering, cyber-physical systems and intelligent automation. Through the strong links with