28 data-"https:"-"https:"-"https:"-"https:"-"Dr"-"Goethe-University" positions at Cranfield University
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usability and accuracy, as well as conducting field tests to validate their effectiveness. Additionally, the research will explore the economic viability of these sensors to enhance real-time data collection
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
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management and development, compliance, administration, data management, policy development, employee relations, organisational change, performance enhancement and embedded people operational management
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reliability and maintenance strategies. Filter Rig: An experimental setup to study filter clogging phenomena, allowing for the collection of data to develop and validate prognostic models for filter
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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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will have sound knowledge of data protection regulations and be experienced in co-ordinating events and activities. Experience of working within an Apprenticeship or Higher Education environment and
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information about application please visit Applying for a research degree . Apply now
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with an appropriate person. For further information about application please visit Applying for a research degree . Apply now
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with a wealth of social and networking opportunities. How to apply For further information please contact: Name: Prof. David MacManus Email: d.g.macmanus@cranfield.ac.uk Phone: +44 1234 754735 If you are
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of CRM, intranet, research systems and student information systems (e.g. SITS) would be welcome. You will be tenacious, have excellent communication skills and demonstrate a flexible, enthusiastic and