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critical to ensuring the longevity and safety of fusion reactors. This PhD project focuses on developing an integrated framework that combines cutting-edge computational models, including Monte Carlo
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of the following objectives: Design and development of long dwell-time, distributed signal processing algorithms for improved target detection Design and development of signal processing techniques for enhanced
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will join the group of Dr Evelien Adriaenssens, expert in viromes and microbiome, with support from Prof Eleanor Mishra, respiratory consultant and associate clinical professor. The ideal candidate has
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Consumer Trends: Gen-Z and the Design of Tangible Artefacts (in collaboration with CEWE) PhD in Global Sustainable Development via Design Route. Applications are invited for a fully funded 3.5-year
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summary Join an international team developing scalable algorithms to solve numerical linear algebra challenges on supercomputers. Modern high-performance computing increasingly relies on hardware
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including: * Algorithmic game theory * Approximation algorithms * Automata and formal languages * Combinatorics and graph algorithms * Computational complexity * Logic and games * Online and dynamic
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push the limits of multiphysics CFD for laser manufacturing by developing a next-generation simulation capability for laser drilling (with relevance to additive manufacturing). Your work will capture
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interpreted by regression and tree-based machine learning algorithms to obtain even better mutants and develop mechanistic hypotheses. Various collaborations with ON-TRACT network partners across Europe allow a
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push the limits of multiphysics CFD for laser manufacturing by developing a next-generation simulation capability for laser drilling (with relevance to additive manufacturing). Your work will capture
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Project Supervisors: Prof Andrew Daly-Smith, Dr Anna Chalkley, Dr Daniel Bingham Project Description: The Join Us: Move Play (JUMP) whole-system approach to physical activity in children and young