595 assistant-professor-computer-science-data-"https:"-"https:"-"https:" PhD positions in United Kingdom
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Karl Pike, the project lead, and Professor Tim Bale. There will be opportunities for research training, and support for presenting research at academic conferences and seminars. Funding and Support Home
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the KBS PhD programme the student will receive support and training in both qualitative and quantitative research methods as part of the PhD. Further information You can email Prof Dirk vom Lehn
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biology, or the molecular mechanisms used by S. capitis to establish colonisation of the stratum corneum. This project therefore aims to exploit our new finding and to functionally characterise S. capitis
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in porous geological formations. The successful candidate will develop and implement computational models, validate them against experimental or field data where available, and contribute to the design
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-driven model selection, and deep learning for data analysis and feature extraction from characterisation data. Surrogate modelling will be employed to reduce computational costs, and AI-based uncertainty
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deployment of an increasingly important emerging process technology. For more information, including how to apply, please contact Prof. Kit Windows-Yule at c.r.windows-yule@bham.ac.uk. Funding notes
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-leading research programme investigating key nuclear reactions for both fundamental physics and applications. The aim of the project is to establish new methods to measure properties of Auger electron
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previously are welcome to reapply. No late applications can be accepted. Further information on the Faculty of History's PhD programme can be found here: www.postgraduate.study.cam.ac.uk/courses/directory
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. The project is co-sponsored by Spirent Communications, a world leader in navigation and testing technology. Spirent will provide advanced simulation tools, expert support, and industry placements to help make
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into its latest Ryzen processors, unlocking new possibilities for on-device AI acceleration. This project aims to maximise the potential of AMD’s cutting-edge hardware for healthcare computer vision