642 assistant-professor-computer-"https:" "https:" "https:" "https:" "EURAXESS" PhD positions in United Kingdom
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project experience is also welcomed. For more information on the entry requirements and fees please visit our website. https://www.kcl.ac.uk/study/postgraduate-research/areas/cancer-and-pharmaceutical
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to the interests of one of the School’s research groups: Cyber-physical Health and Assistive Robotics Technologies Computational Optimisation and Learning Lab Computer Vision Lab Cyber Security Functional
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candidates with an exceptional track record may also be considered. For further information and guidance, please contact Dr Mingee Chung at m.chung@bham.ac.uk References: https://www.birmingham.ac.uk/news/2024
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and determination? We are currently seeking a/an University assistant predoctoral - PhD Position in Graph Learning 39 Faculty of Computer Science Startdate: 01.05.2026 | Working hours: 30 | Collective
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their operational reliability. The PhD student will combine mathematical models, in-house laboratory tests in a wind-wave-current flume (https://research.ncl.ac.uk/amh/ ) and numerical methodology to quantify
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museum catalogues, and how might digital methods help recover them? How can this research support the V&A’s commitment to surfacing underrepresented narratives and enriching catalogue metadata? The project
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Large-scale wind turbines, specifically
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PhD studentship in Computer Science - Dynamic Validation of AI Systems in Digital Twins: A Real-Time Safety Framework for Critical Infrastructure Resilience Award Summary 100% fees covered, and a
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-wzn23), this project will combine advanced synthetic strategies with reactivity studies, detailed physical characterization and computational studies to elucidate electronic structures. Together
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before the deadline. Computational haemodynamic modelling provides a powerful framework for linking blood flow dynamics with cardiovascular disease, using in silico approaches to systematically study flow