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information, please contact main supervisor; Prof Michael Greaney (michael.greaney@manchester.ac.uk ).
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that candidates possess expertise in some (but not all, or even most) of the following areas: Applied mathematics, control engineering, and numerical optimisation Machine learning and/or data science Computer
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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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Conditions and Privacy Policy apply to this service. Any personal data you provide in setting up this alert is processed in accordance with our Privacy Notice Create PhD Alert Create Job Alert When you
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Conditions and Privacy Policy apply to this service. Any personal data you provide in setting up this alert is processed in accordance with our Privacy Notice Create PhD Alert Create Job Alert When you
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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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discipline, or equivalent research experience. Demonstrated experience in experimental research on hydrogen-related systems, with data analysis suitable for publication. Practical experience in high-pressure
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checks for eligibility and other criteria. For more information or informal enquiries, please contact Dr Piril Hepsomali (P.Hepsomali@reading.ac.uk ).
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, schedule experiments, collect and analyse data, present findings and oversee day-to-day running to project. Adherence to Good clinical and research practice guidelines will be required. The successful