68 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:" positions at Cranfield University
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, chemical engineering, mechanical engineering, physics, or related disciplines are encouraged to apply. Experience with thermodynamics, corrosion, computational modelling, or high-temperature materials is
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evaluation. Prognostics is an essential part of condition-based maintenance (CBM), described as predicting the remaining useful life (RUL) of a system. It is also a key technology for an integrated vehicle
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mitigating jamming and spoofing threats in real-time. Integration of Trusted Execution Environments (TEEs): Investigate the use of TEEs to create secure zones within embedded systems, facilitating secure data
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and Computational Social Science approaches to entrepreneurship, sustainability and achieving the SDGs Technology in Management/HRM/Supply Chains Operations Research and Computational approaches in
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Advances in computing, experiments, and information will continue to reshape engineering in the next decade. This PhD position will nurture a multidisciplinary innovator with the tools to unravel
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would suit candidates with a sound background in engineering, computer science, or related disciplines. Funding This is a self funded opportunity. Find out more about fees here. Diversity and Inclusion
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Are you passionate about developing novel research and keen to shape the future of energy transfer technologies in areas such as, forensic science and Uncrewed Aerial Systems (UAS). We
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opportunities. How to apply For further information please contact: Name: Professor Saba Al-Rubaye Email: s.alrubaye@cranfield.ac.uk If you are eligible to apply for this studentship, please complete the online
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business analysis and process improvement. If you can also add strong stakeholder management skills, then you could be the person we’re looking for. The successful candidate will help Cranfield drive
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stakeholder management skills, then you could be the person we’re looking for. The successful candidate will help Cranfield drive transformation in our IT and the business processes that support our research