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of a vibrant and interdisciplinary research environment, working closely with physicists, biologists, and engineers. You will also have the opportunity to present your research at international
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and Inclusive. We’re committed to the wellbeing of all our staff and to the sustainability of our environment, on our campus and beyond. We offer a competitive salary package, excellent pension scheme
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supervisors, we strive to create an enjoyable, inclusive, and productive team environment. You are encouraged to contact us and speak with previous PhD students about what to expect (e.g. see SHOALgroupalumni
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The successful candidate will work in a highly interdisciplinary environment as part of a vibrant cohort of HDR UK-funded PhD students, with outstanding networking opportunities with fellow students
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computational models that help us interpret and control how language is generated and understood by AI systems. The selected student will join the University’s vibrant research environment and will be encouraged
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. While autonomy is becoming more integrated into modern mobility, the reliability of Position, Navigation and Timing (PNT) systems—especially in environments where GNSS signals are denied or degraded
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, have an ability to plan and prioritise your own workload, with general supervision, and you will have an ability to work within a team environment. You will have excellent interpersonal and communication
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for part-time study. The student would be based in the Centre for Smart Grid in the Faculty of Environment, Science and Economy at the Streatham Campus in Exeter. Project Description: With the increasing
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would be based in the Faculty of Environment, Science and Economy at the Streatham Campus in Exeter. Project Description: Self-powered systems, which harvest energy from ambient sources (e.g., solar
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at the Henry Royce Institute of Advanced Materials and Innovation which offers an open, accessible and collaborative environment. You will have access to the most prominent academics working on similar topics