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drone detection and localisation performance using radar systems. This can be achieved by improving the detection performance of individual sensors and by employing a cooperative network of sensors which
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due to a lack of resource. With some water-hungry sectors (such as data centres and other high-tech industries) prioritised for significant growth in water stressed regions, these challenges are set to
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Advances in computing, experiments, and information will continue to reshape engineering in the next decade. This PhD position will nurture a multidisciplinary innovator with the tools to unravel
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and Computational Social Science approaches to entrepreneurship, sustainability and achieving the SDGs Technology in Management/HRM/Supply Chains Operations Research and Computational approaches in
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Deadline 1 Mar 2026 - 00:00 (Europe/London) Country United Kingdom Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Other EU programme Reference
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This PhD project aims to address one of the key challenges in the manufacturing industry, the increase in productivity by utilizing the equipment with its optimum performance and without any
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analytical techniques while contributing to the optimization of toilet system performance through rigorous scientific analysis and data interpretation. Cranfield’s world-class expertise, large-scale facilities
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to implement and support business-critical systems, ensuring high-quality service, training, and continuous improvement. Our Values and Commitments Our shared, stated values help to define who we are and
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detection of chemical and microbial contaminants in rivers. The studentship is funded by the Leverhulme Trust through the Connected Waters Leverhulme Doctoral Programme, which is supporting new research
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system. This project will focus on improving the intake aerodynamic design systems in terms of design optimisation as well as computational modelling. Entry requirements Applicants should have a first or