18 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" positions at University of Exeter in United Kingdom
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-supervisor Dr George Datseris, to tackle this detection problem in two exciting, real-world settings: Earthquakes. Can robust, consistently detectable signals in seismic data help us better understand the
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CD3 is a new, multidisciplinary and multi-institutional strategic national research programme dedicated to using data to transform our understanding of cancer risk and enable early interception
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welcome). Further information on this role can be found at https://exetermathematicsschool.ac.uk/life-at-ems/work-with-us/ . Applications to be returned to jobs@exeterms.ac.uk
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& Find Out More : To apply for this fully funded PhD Studentship or for more information, follow this link: https://www.exeter.ac.uk/study/funding/award/?id=5840 Application Deadline: 19 APRIL 2026 @ 23.59
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Research Excellence Framework). Further information For further information please contact Dr Charlotte Bishop, e-mail c.p.bishop@exeter.ac.uk . The closing date for completed applications is Thursday 30th
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regulatory obligations. Hydraulic simulators are physically detailed but computationally slow and calibration-intensive, limiting large-scale scenario exploration and optimisation. Purely data-driven
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of light. [1][2] This emerging technology holds enormous potential, offering routes towards new forms of highly parallelised information processing (optical computing), point-of-care diagnostics, next
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contribute to changes in behaviour, pain neuroscience or the neuroscience of emotional control to apply. Please contact Dr C Lawrenson (c.l.lawrenson2@exeter.ac.uk ) prior to submission to discuss the project
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network integration for emerging low-energy opto-electronic AI systems and beyond. The challenge: Machine learning and neural networks are super-charging the complexity of problems that computer algorithms
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storage leads to serious issues like diabetes, high blood pressure, and heart disease. Doctors often miss these problems because these people appear healthy on the outside. The student will use data from