32 programming-"the"-"DAAD"-"U"-"Prof"-"IDAEA-CSIC"-"UCL"-"O.P" "Cranfield University" PhD positions
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This fully-funded PhD studentship, sponsored by the EPSRC Doctoral Landscape Awards (DLA), Cranfield University and Spirent Communications, offers a bursary of £24,000 per annum, covering full
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interactive learning environment. Based at Cranfield University, a global leader in aerospace research, the project benefits from world-class experimental facilities in hydrogen testing and expertise in
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inspections by enhancing defect detection accuracy. The candidate will develop and demonstrate this system in Cranfield University's state-of-the-art Robotics Lab. Cranfield University is renowned for its
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Cranfield University and Magdrive, offer a fully funded PhD position under the umbrella of the R2T2 consortium to study the optimisation of their thruster for a kick stage. R2T2 is a UKSA-funded
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ideal candidate will be self-motivated, with an interest in materials for extreme environments, and effective communication skills. Previous programming or experimental experience is advantageous but not
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treatment performance, and 3) to conduct cost-benefits analyses and ecosystem assessments to support the application of intensified NbS strategies. The project is an exciting collaboration between Cranfield
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This PhD opportunity at Cranfield University invites candidates to pioneer research in embedding AI into electronic hardware to enhance security and trustworthiness in safety-critical systems
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This PhD opportunity at Cranfield University invites ambitious candidates to explore the frontier of energy-efficient intelligent systems by embedding AI into low-power, long-life hardware platforms
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are part of the programme. The research is funded by the Centre of Propulsion and Thermal Engineering at Cranfield University. The work will be conducted at the Cranfield icing wind tunnel (IWT) based
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This PhD opportunity at Cranfield University explores how next-generation AI models can be embedded within resource-constrained electronic systems to enable intelligent, real-time performance