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Local Rules for Kolmogorov–Arnold Networks (KANs) School of Computer Science PhD Research Project Directly Funded Students Worldwide Prof Eleni Vasilaki Application Deadline: Applications accepted
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second-class honours degree or equivalent. Due to the interdisciplinary nature of this programme, we welcome applications if your background is in any biological, chemical or physical science or
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computer-based models of manufacturing process, allowing for analysis, optimisation and visualisation of operations before physical implementation. It is a sought after skill in many high-value manufacturing
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or equivalent. Due to the interdisciplinary nature of this programme, we welcome applications if your background is in any biological, chemical or physical science or mathematics and are interested in using your
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ACCE+ DLA programme: Landscape-scale drivers and limits of endangered species spatial and temporal distribution School of Biosciences PhD Research Project Competition Funded Students Worldwide Prof
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to the goals of the national Quantum technology programme. Funding Notes This project is for self funded students or students who have secured external funding only. References https://ldsd.sites.sheffield.ac.uk
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? This work would suit a highly motivated student with strong analytical skills and an enthusiasm for developmental biology, evolution and genomics. The project will involve computational and laboratory work
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biomechanics, computational modelling, sustainable materials, and translational medicine. This studentship brings together world-leading expertise in biomechanics, materials science, and neurosurgery to achieve
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BBSRC Yorkshire Bioscience DLA Programme - Decoding the epigenetic language shaping root parasite-host communication School of Biosciences PhD Research Project Competition Funded Students Worldwide
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to the interdisciplinary nature of this programme, we welcome applications if your background is in any biological, chemical or physical science or mathematics and are interested in using your skills in addressing