58 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Cranfield University
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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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the challenge of forever chemicals in drinking water. The aim of this research is to develop a smart data predictive model that will support utilities’ evidence-based decision-making to improve the resilience and
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experimental and operational data, evaluating machine performance, and preparing high-quality technical reports for industrial partners. The Research Fellow will also be expected to contribute to the wider
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information, as this will be requested at the application stage. Your proposal should demonstrate your interest and your potential to carry out independent research. Short two-page proposal that: Defines a
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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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systems safer, more efficient, and more sustainable. The aim of this project is to design a smart cognitive navigation framework that information from various sensors and learn to make decisions on its own
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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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postharvest drying energy demand. Combining applied mycology, food safety modelling, precision agriculture and Net Zero energy systems, the research will deliver energy-efficient, data-driven grain storage