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start date is October 2026. We recommend that you apply early as the advert may be removed before the deadline. Many technologies essential to a Net Zero future, including sustainable chemical processing
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primary supervision of Dr Thomas Ouldridge. The student will develop predictive models of nucleic acid strand displacement rates to allow the rational design of complex networks of ever-increasing
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characterisation and AI‑assisted modelling. Working within the Composites Research Group, you will develop a digital twin of the PFA cure process, combining mechanistic modelling with neural‑network‑based prediction
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candidate will participate in the EU-funded HORIZON-MSCA-DN-2024-01 project LipAgg. The LipAgg network brings together partners from five European countries and comprises nine academic institutions and twelve
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of the Marie Curie Doctoral Networks "FINALITY", will be hosted at TU Delft, Department of Computer Science, and will be co-supervised by Prof. George Iosifidis (TU Delft) and Prof. Constantine Dovrolis
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Offer Description Global supply chains are large, complex networks that are typically opaque even to the firms that operate within them. A firm generally has visibility only to its direct (tier-1
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develop next-generation power converters for mission-critical applications: from hyperscale AI hubs to MW-scale EV charging and smart grids. The UK’s Modern Industrial Strategy and commitment to Net Zero
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PhD position in Adaptive Protocols for Decentralized Wireless Networks - Secure Mobile Systems Group
19 Mar 2026 Job Information Organisation/Company IMDEA Networks Institute Department Secure Mobile Systems Group Research Field Computer science » Other Engineering » Electrical engineering
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knowledge quarters has positioned cities as key sites for economic growth, technological advancement, and sustainable development. However, these environments are inherently complex, involving multiple
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photonic systems, in particular, make it possible to harness the richness of optical dynamics to perform complex operations inspired by biological neural networks. However, current approaches face