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Systems for Autonomous Inspection - Enhancing Data Collection and Analysis Supervisors: Dr. Pawel Ladosc & Dr. Philip Zhao Year 1 MSc Course: MSc Robotics Year 2 – 4 PhD Location: The University
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: Profile E Further information about English language requirements and profile levels . Funding: University of Bristol PhD Studentship Scheme Contacts: For questions about the research topic, please contact
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aims: Develop end-to-end protocols for screening selected foods and nutraceuticals. Create advanced strategies for data integration using tailored algorithms and machine learning approaches. Demonstrate
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student will be encouraged to share their findings to help inform the design of future sites. Feasibility: The student will collect high resolution multispectral data and geophysical measurements (Weeks 1
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within the icing group at Cranfield has captured valuable data on droplet splashing, rebound and secondary impingement through experimental research in the vertical icing wind tunnel at Cranfield
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mobility, integrating advanced AI techniques with real-world urban data. We invite applicants with an interest in one or more of the following areas: AI-Driven Sustainable Mobility Planning – Developing
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-time senior women’s players. The candidate will be responsible for all aspects of the research project, including obtaining ethical approval, data collection and dissemination/communication of research
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resilient, long-term cost-benefit case for modernising and protecting our grid. The project will complement the ISS initiative and model data-driven grid optimisation services that ISSs can enable. Firstly
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rhabdomyosarcoma), fragmented data from multiple small series has hampered global elementary understanding of metastasis biology and - therefore – targeted therapy development. It remains unresolved – and is
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: You will need to provide details of two referees as part of your application. Closing date The closing date for applications is 13 July 2025. Further Information It is expected that interviews will