368 postdoc-in-thermal-network-of-the-physical-building PhD scholarships in United Kingdom
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at international conferences and build a professional network across academia and industry. Development of expertise in cutting-edge experimental techniques, computational modelling, and interdisciplinary
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for research excellence and interdisciplinary systemic thinking for Net Zero. The ReNU+ vision is that they will become living examples of a highly skilled workforce delivering an equitable energy transition so
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enacted through the political process. This project will explore the political frictions which make the Climate Transition so difficult. Subject areas (select up to 10): Economics Start date: 1st Oct 2025
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device will be determined by the material used to make the crystal. In this project we will use electronic structure calculations guided by chemical understanding to discover new thorium compounds
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elements like Physical Unclonable Functions (PUFs) and True Random Number Generators (TRNGs) to secure hardware components. Embedded Trust Protocols: Design protocols that establish and maintain trust within
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Verification Tools: Develop AI algorithms that automate the verification process, ensuring systems meet required safety and performance standards. Health Monitoring Algorithms: Implement AI-based monitoring
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aircraft, utilized for research into thermal management and system health monitoring, supporting studies in military aircraft systems. Engaging with these facilities allows students to acquire practical
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"Confirmation of funding" must be attached/uploaded during the application process. Candidates should supply a brief research proposal of 2-4 pages. This should include a brief literature review to the research
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challenging properties of uncertainty, irregularity and mixed-modality. It will examine a range of models and techniques that go beyond Markovian approaches, including state-space models, tensor networks, and
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, embedded intelligence, and adaptive cyber-physical systems that operate safely under uncertainty and dynamic conditions. This PhD at Cranfield University explores the development of resilient, AI-enabled