23 phd-position-in-cryptography PhD positions at University of Exeter in United Kingdom
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of Physical activity, alongside the important social and environmental context that lead to positive affective response. A key outcome of the PhD will be the development / adaptation of a digital intervention
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This PhD studentship, based at the University of Exeter's Penryn Campus (Cornwall), offers an opportunity to conduct research at the intersection of wind energy, power systems, and advanced control
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consumption of UAVs. A distributed ML algorithm based on Liquid State Machines will be designed to adaptively optimize resource assignment and UAV positioning. WP3: Algorithms Validation and Use Case
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supervisors. A wide variety of PhD projects is available; example project areas are: Human-machine teaming AI agents for air traffic control Weak signal analysis for air traffic control room situational
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Funded PhD Studentship in applied geospatial ecology. This project will investigate how dryland vegetation productivity varies across space and time and how it responds to land management. Working
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The experience of pain is dynamic beyond nociceptive signalling, affected by emotional, motivational and cognitive factors. This PhD project aims to investigate the underlying neurobiological
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operational efficiency and sustainability in remanufacturing contexts This funded PhD studentship is open to highly motivated candidates with a strong background in Engineering or a closely related discipline
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Location: Exeter,Streatham Campus The University of Exeter’s Department of Psychology is inviting applications for a PhD studentship fully funded by NIHR to commence on 21 September 2026 or as soon
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signals in the optical domain [2]. Photonics is set to became a major part of future AI systems, due to its inherently low energy consumption, high-speed data transfer and vast potential for parallelisation
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this industrial PhD studentship in Physics – fully funded by the University of Exeter and Leonardo UK. We’re looking for a student who has a passion for science, with ambition to learn and apply their own ideas