602 web-programmer-developer-"https:"-"UCL"-"PhD-Jobs"-"https:" PhD positions in United Kingdom
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vulnerabilities like side-channel attacks and unauthorized access, which can compromise system integrity. Developing robust security measures within AI-enabled electronics is essential for applications in defence
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the development of specialized hardware architectures capable of efficient, real-time processing. Embedded AI hardware architectures, including neuromorphic processors and low-power AI accelerators
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vibrant research culture, founded upon the diversity of activities and knowledge. A tailored programme of seminars and events, alongside our Doctoral Researchers Core Development programme (transferable
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modelling becomes crucial for developing effective mitigation and adaptation strategies for marine infrastructure. Within the Institute of Infrastructure and Environment, we maintain a track record in the
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analysis using StarCCM+/OpenFoam, conduct the experimental test using our cavitation tunnel, the combined wind, wave and current tank and the research vessel, and develop a novel maritime system for clean
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, please select ‘Loughborough’ and select Programme ‘Mechanical and Manufacturing Engineering’. Please quote the advertised reference number * CSC-26-WS * in your application under the ‘Finance’ section
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) under the supervision of Dr Elton Santos, and Dr Nina-Juliane Steinke. This is a joint programme between both institutions, which combine advanced modelling methods (spin dynamics, quantum approaches, AI
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develop your software engineering skills to redefine manufacturing? This exciting PhD project is for you if you want to develop innovative techniques to ensure industrial robots are reliable, safe, and
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annum for 2025-26) for 3.5 years, tuition fees (at the rate for UK students) and a budget of £8,000 for project costs and student development activities. Supervisors This project will be co-supervised by
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remain in aligning how physical HcI is delivered using OSC and how healthcare systems manage their supply chains. This project will develop an interdisciplinary, data-driven framework to quantify and