32 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr"-"Goethe-Universityrankfurt" positions at Cranfield University
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performance degradations and unwarranted system failures can occur. There is certain physical information known a priori in such aerospace platform operations. The main research hypothesis to be tested in
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for more information. •30 September 2024 •27 January 2025 •2 June 2025 •29 September 2025 We highly recommend you prepare the following information, as this will be requested at the application stage. Your
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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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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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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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information about application please visit Applying for a research degree . Apply now
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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
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have some expertise in business analysis and techniques, such as ‘as is’ and ‘to be’, and swimlanes. Specific project experience of CRM, intranet, research systems and student information systems (e.g
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for the collection of data to develop and validate prognostic models for filter degradation. Integrated Drive Generator (IDG) Rig: Simulates the operation of an aircraft's IDG, used to investigate fault detection
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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