28 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr"-"FEUP" positions at Cranfield University
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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
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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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to £45,580 per annum, with potential progression up to £52,067 per annum We welcome applications from enthusiastic bioinformaticians or data scientists to join our flag-ship project ‘Developing a resilient and
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and wastewater streams. You will design and run experiments, analyse and interpret research data, and contribute to the development of an intensified ion exchange process integrated with regenerant
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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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the remit to work in partnership with the University’s Faculties and other PSUs to provide a full-service digital IT systems and information management capability in support of the strategic priorities
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, finance, and healthcare, where data integrity and system reliability are non-negotiable. This PhD project addresses the integration of robust security measures within AI-enabled electronic systems
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new role within our Student Systems Team, to provide technical development and analytic expertise across strategic development and core operational support of the student information management systems
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may be required to obtain UK Security Clearance. Funding This studentship is open to UK applicants only. How to apply For further information please contact: Name: Prof. David MacManus Email
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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