385 parallel-and-distributed-computing-"Meta"-"Meta" positions at University of Sheffield
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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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                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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                World Models, Predictive Control and Foundation Models for Robotics 
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                at the University of Sheffield. The unique properties of particles of light (photons) can enable a host of new technologies, such as quantum computing and networking. However, the realization of these technologies 
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                Topologically constrained physics-informed machine learning for modelling complex spin textures (S3.5-COM-Ellis) School of Computer Science PhD Research Project Competition Funded Students Worldwide 
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                Multi-modal Understanding of Human Heart (S3.5-COM-CChen2) School of Computer Science PhD Research Project Competition Funded Students Worldwide Dr Chen Chen, Prof Andy Swift Application Deadline 
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                from students, external customers, and staff. . Main duties and responsibilities Coordinate the School's postgraduate placements and attachments programme for students on PGT International Development 
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                evaporation and flow patterns can disrupt the uniformity of the ink film, and in turn degrade the quality, performance, and value of the film. The PhD research programme will look to find ways to control; (i 
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                engineers to monitor and maintain shell structures in real time. By combining data from sensors with advanced computer models, a digital twin can continuously track how a shell responds to changing loads and 
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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