56 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Univ"-"Univ"-"Univ" positions at Cranfield University
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from passionate, skilled, committed, prospective experts in Data Science in Food Systems to join our team passionate in onion supply chain, to contribute in reducing losses due to fungal disease
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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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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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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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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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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
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are creating leaders in technology and management globally. Learn more about Cranfield and our unique impact here . The role of the Finance Professional Service Unit is to ensure that all financial data is
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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