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or industry. Network-wide Training Events will provide complementary knowledge, multidisciplinary experience, and transferable skills: ethics & research integrity, scientific writing, communication
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languages (Python/MATLAB) commonly used in machine learning applications, is desirable but learning can be completed during the PhD. Excellent communication and interpersonal skills to facilitate
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. The research will probe beneath surfaces to detect impurities and internal features, while also exploring new methods for embedding invisible authenticity markers. Finally, advanced data tools and neural network
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research and impact related to two EPSRC-funded projects: ResTOrES (Resilience Toolkit for Offshore Energy Systems) and RENEW (Climate Resilient Heat Electrification for Net-Zero Emission Whole Energy). The
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South and East Network for Social Sciences (SENSS) and CAM-DTP are pleased to announce a call for two ESRC-funded studentships. The purpose of this joint scheme is to promote collaboration between
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real-world challenges. We work with an extensive network of industrial partners including BT, Haleon and Tesco. Engage with our network of charitable partners Students have the opportunity to engage with
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This self-funded PhD opportunity explores assured multi-sensor localisation in 6G terrestrial and non-terrestrial networks (TN–NTN), combining GNSS positioning, inertial systems, and vision-based
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achieving Net Zero by 2050. In partnership with Plant Health at Defra (Department for Environment, Food & Rural Affairs), this project introduces a novel AI-driven framework to protect the nation’s plant life
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management experience across multiple industries, build an extensive professional network spanning academia and industry, and cultivate commercial awareness that enhances your career prospects. Alumni from
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and communication skills. Funding Self-funded/partially funded Please contact the supervisor for more information or explore our funding finder . Cranfield Doctoral Network Research students