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will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show challenging properties of uncertainty, irregularity and
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industry, a Regulatory Authority or relevant doctoral/post-doctoral research. We are seeking candidates with experience of: Communicating complex scientific issues, in writing and face-to-face, with clarity
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Computational verification of high-speed multi-material flows, where physical experimentation is highly limited, is seen as critical by the Defence Sector (source: the UK Atomic Weapons
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This project aims to enhance best practices in strain quantification for biomedical applications, facilitating the transition of image-based measurement methods from laboratory research to clinical
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the above ‘Apply’ button. Under ‘campus’ please select *Loughborough* and select the programme ‘CDT Engineering Hydrogen Net Zero’. Please quote the advertised reference number *LU-EnerHy-2025-1* under
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, equitable and truly inclusive university. We are seeking a full-time Research Assistant (“pre-doc”) to work closely with Dr. Eugenie Dugoua on several ongoing research projects at the intersection
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members of the Department and scientific collaborators based in other institutions. In particular, there will be links with the Department of Computer Science and Technology in Cambridge. The post-holder
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, and Internet-of-Things / Industry 4.0 technologies. Knowledge of computer science principles and modern AI approaches in computer vision and/or time series analysis is a plus. The position requires
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A PhD studentship in RF and Microwave Engineering is available within the Birmingham Emerging Device Technology (EDT) Research Lab, one of the leading interdisciplinary research groups within
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define observable events based on expert knowledge and available evidence. Development of a post-race analysis structure, process and data ‘toolkit’ that can build on historical understanding of race