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Field
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tasks The scope of the PhD position(s) fall within the areas of novel low-complexity neural network architectures, generative audio techniques, and the integration of large language and speech foundation
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induced seismicity. Current models remain limited by the scarcity, heterogeneity, and noise of available data, as well as by incomplete knowledge of the subsurface. Physics-Informed Neural Networks (PINNs
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Description FRESCI is seeking a Doctoral Candidate to join a prestigious Marie Skłodowska-Curie Doctoral Network. This 36-month position is at the critical intersection of AI, software engineering, and human
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fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and results
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into useful chemical products is at the heart of the Net Zero transition. In liquid-phase heterogeneous systems, controlling which product forms and understanding why it forms remain one of the field's most
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operation of autonomous systems in complex, real-world conditions. This PhD project aims to develop resilient Position, Navigation and Timing (PNT) systems for autonomous transport, addressing a critical
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Research Infrastructure? No Offer Description Chromatographic problem solving, commonly referred to as method development, is hugely complex, given the many chemical parameters that need to be optimized and
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: • Experience of applying CFD to a complex problem • Appreciation of meshing requirements for aerodynamic simulations • Experience with machine learning or data-driven modelling techniques Funding
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Horizon Europe MSCA Doctoral Network, SUPER, as a PhD Fellow. The successful candidate will be registered as a fee free PhD student at Universidad Europea de Madrid and enrolled in the SUPER Doctoral
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education, research, and innovation, which has been inspiring generations of thinkers for over 400 years. The Wireless Engineering and Complexity Science Lab (WhyCOM) and Not A Space Race Lab (NASR