54 parallel-computing-numerical-methods positions at University of Exeter in United Kingdom
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Jackdaw Project – a long-term study population of wild jackdaws run by Alex Thornton – provides the ideal setting to test and validate methods before then applying them to field sites in even more remote
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(including but not limited to computer vision, natural language processing, optimization) and possess sufficient specialist knowledge in the discipline to develop research programmes and methodologies
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numerous discounts at leading retailers onsite gyms on all of our campus’ and a cycle to work scheme sector leading policies around maternity, adoption and shared parental leave (up to 26 weeks full pay
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numerous discounts at leading retailers onsite gyms on all of our campus’ and a cycle to work scheme sector leading policies around maternity, adoption and shared parental leave (up to 26 weeks full pay
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Jan 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe Is the Job related to staff position within a Research Infrastructure? Yes Offer Description Faculty of Environment
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qualification/experience in a related field of study and be able to demonstrate sufficient knowledge in the discipline and of research methods and techniques to work within established research programmes
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PhD Studentship: Subcortical brain development and disorders, funded PhD at the University of Exeter
Decoding the precise programme regulating neurodevelopment has been crucial to our understanding of brain disorders. A central question is how the brain generates its remarkable diversity of cell
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This PhD “Novel use of AI in Marine Monitoring” will focus on marine monitoring in NEOM Nature Reserve (NNR) within northern Saudi Arabia. The PhD will develop techniques for automation in surveying marine biodiversity, with an overall aim of decreasing the time between surveying and meaningful...
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networking, computing and sensing. Quantum technologies exploit the unique properties of quantum physics to deliver functionality that cannot be achieved using classical physics alone. A key challenge is the
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
such a promising technology, the centralised and resource-intensive nature of current LLMs conflicts with the constraints of aerial 6G networks in terms of limited computation, energy, and communication