82 postdoctoral-image-processing-in-computer-science-"EPIC" positions at Cranfield University
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engineering, computer science or a related field. The ideal candidate should have the ability to understand engineering systems and have some experience with machine learning techniques. The candidate should be
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The research topic is in the area of experimental and computational hypersonic aerodynamics, and will result in the award of a PhD after 4 years. The funding is through a centre for doctoral
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the safe adoption of hydrogen in aerospace materials through advanced experimental and computational modelling. You'll join a diverse, multidisciplinary team committed to equity, diversity, and inclusion
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evaluation. Prognostics is an essential part of condition-based maintenance (CBM), described as predicting the remaining useful life (RUL) of a system. It is also a key technology for an integrated vehicle
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-based solutions (NbS) for water and wastewater treatment. The research will explore sustainable engineering strategies to boost their performance to deliver benefits for the environment and society. The
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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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to the Net Zero targets. In consultation with the wider CDT community, the work will also include the development of a roadmap for the maturation of the technology and the processes required to have it adopted
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testing and computational modelling. You'll become part of a diverse, multidisciplinary team that prioritises equity, diversity, and inclusion, gaining specialist expertise in hydrogen-material interactions
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, Nuclear (CBRN), Advanced Materials for Protective Engineering: Blast and Ballistics, Advanced Imaging. Supervisors At Cranfield we place great importance on supervision and the relationship a student has
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-on experience with real-world SCADA data, industry collaboration with RES Group, and training in high-fidelity simulation environments (OpenFAST, Digital Twin technology). This opportunity is ideal for those