56 data-"https:"-"https:"-"https:"-"https:"-"SUNY-Polytechnic-Institute" positions at Cranfield University
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should have a strong foundation in artificial intelligence, machine learning, and multi-agent systems, along with experience in programming, data analysis, and model development. Knowledge
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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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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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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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identification of cracking risk, even where experimental data are limited. Project Overview This EngD will develop a thermodynamic modelling framework to predict the formation of damaging liquid phases in turbine
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establishing events and aiding future design improvements. Currently, there remains a paucity of data in this domain, making it difficult to identify any notable trends and associated failure mechanisms
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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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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