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He). Their behaviour is governed by many-body correlations and subtle forms of order that are often inaccessible to classical probes. Superconducting quantum circuits provide a uniquely sensitive
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phase of electronic neural networks is highly power-intensive, and their widespread use puts ever-increasing pressure on global energy infrastructure [1]. Photonic circuits guide and process light-based
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methods. Extend and validate protection mechanisms for larger systems with many interconnected converters. What we are looking for: A strong academic background in power electronics, circuits and protection
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/or opto-electronics (UK/international tuition fees covered). The aim of project is to develop a new generation of integrated opto-electronic devices for next generation neuromorphic computing
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Funding for: UK Students Funding amount: Funding will cover tuition fees for UK students (at the Home rate), a stipend at the UKRI rate , and a consumables budget. This is a 3.5-year PhD
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candidates will be required to fund the difference between the home fees and international fees. Overview Are you interested in developing Brain-Computer Interface technologies to control brain stimulation in
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electronic design, AI-driven system resilience, and intelligent hardware security. Through the EUROPRACTICE partnership, the IVHM Centre provides access to advanced CAD tools, integrated circuit prototyping
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industries, including transportation, consumer electronics, and industrial automation. This PhD project focuses on the design and optimization of intelligent systems with an emphasis on energy efficiency and
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research group specializing in secure electronic design, AI-driven system resilience, and intelligent hardware security. Through the EUROPRACTICE partnership, the IVHM Centre provides access to advanced CAD
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This PhD at Cranfield University explores the development of resilient, AI-enabled electronic systems capable of detecting faults and autonomously recovering from failures in real time. The project