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Berlin, and the Max Planck Institute in Hamburg. Our work combines physics, chemistry, and materials science – pushing the frontiers of quantum materials research. The overarching goal of the Collaborative
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will be for a 3-year period without teaching. The start date is set for fall 2025, though this is flexible. via Unsplash Qualification requirements A 2-year (120 ETCS) MSc degree in a relevant program is
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the department (laboratory classes) Complete training in transferrable and scientific skills as outlined in the Ph.D. degree criteria Completion of PhD thesis within 4 years. Application Process: This position is
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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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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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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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numerical simulation and analytical computation tools: Ansys HFSS, Matlab etc. • Strong interest in multidisciplinary, application-driven research with desire to innovate and pursue advanced research. •Highly
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satellites, with the potential for travel to test instrumentation in ideal locations. Additionally, the simulation work will focus on developing computational models to validate instrumentation and optimising