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Field
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learning approaches and develop a theoretical understanding potentially based on differential geometry. In particular, deep neural networks perform surprisingly well on unseen data, a phenomenon known as
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systems. This is a unique opportunity to develop and test new AI techniques for complex interconnected systems, such as those envisioned in future (6G and beyond) communication networks and in mobile & edge
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knowledge co-evolution and addressing complex challenges in a super-intelligent society. This project is situated within the rapidly evolving field of Cyber-Physical-Social Systems (CPSS), which is of
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affect well-being, and lead to dropout. Considering the complexity of the role and dynamic performance environment, match officials’ ability to cope effectively depends on the interaction of multiple
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to the complexity of the mathematical models that describe them. The current consensus is that there are three “types” of viscoelastic chaos: modified Newtonian turbulence, elastic turbulence, and elasto-inertial
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such that non-credible contingency event impacts can be assessed presents many challenges including: Redispatch of network to reflect future forecast of demand and generation Modelling of future network
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validated with several industrial cases. 2) Resilient planning, scheduling and operations of complex systems. This topic will pursue integrated, holistic planning and scheduling to optimize resilience across
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, Environmental and Geomatic Engineering has an opening for a doctoral student focused on the stress testing complex and interconnected infrastructure systems. Project background Complex and interconnected
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Join our diverse and inclusive team to transform the future of aviation as part of the UK’s EPSRC Centre for Doctoral Training in Net Zero Aviation. The CDT in Net Zero Aviation is the world’s first
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exciting opportunities for knowledge exchange and networking with world leading ocean scientists. For example, you will help linking the observational data to new model simulations being developed