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undertake a mixture of experiment, theory, and numerical simulations in the department of physics at the University of Exeter. The research question is how to effectively shape electromagnetic radiation when
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stacking, both high performance and (very) high density can be achieved by this concept. The mission will be to explore, understand and develop the fundamental physics of device operation. This will require
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used. AI methods for generating regulatory hypotheses between genes, hormones and physical properties will also be developed. Applicants must have/be close to obtaining a PhD or MPhil in Computational
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simulations for AI model validation. ✔ Artificial Intelligence (AI) & Deep Reinforcement Learning (DRL) for energy optimization ✔ Predictive Maintenance & Failure Analysis using Machine Learning and Physics
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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
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+ Quantum Information Science + Quantum Optics + Theoretical Physics , Quantum Sensing , Quantum Sensors , Quantum Simulation , Quantum Technology , Quantum Transport , Quantum transport in low-dimensional
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Europe | 18 days ago
Lisboa (Iscte)Research Field: Electrical Engineering, Physics, Computer Science, Applied Physics/OpticsResearcher Profile: First Stage Researcher (R1)Application Deadline: 26 August 2025 – 23:59 (Lisbon
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Modern cyber-physical systems (CPS), such as UAVs, next-generation fighter aircraft, and command-and-control (C2) platforms, integrate digital computation with physical processes to make mission
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Computational verification of high-speed multi-material flows, where physical experimentation is highly limited, is seen as critical by the defence Sector (source: the UK Atomic Weapons
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simulation study of light matter interaction, digital twin enabled process development and life cycle assessment will be researched. Opens: Immediately Deadline: 08/08/2025. Duration: 36 months Funding: Funded