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simulations that will be validated against subject-specific data of the real outcome. This will be an iterative process, aimed at finetuning the simulator’s biomechanical parameters, to improve its predictive
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Acceptable first degree - Physics, Mathematics, Natural Sciences, Engineering, Computer Sciences. The standard minimum entry requirement is 2:1. Mode of study: Full-time Start date: 1st October 2026 Funding
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, the research aims to enhance responsiveness, efficiency, and scalability. Leveraging the ultra-reliable, low-latency communication and high data throughput enabled by 5G networks, the study seeks to facilitate
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is critical for a wide variety of engineering and environmental applications, remains unexplored. You will join a team of researchers that experimentally quantify the flow-physics of fundamental
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of architecture standards and inform training and development of the systems modellers of the future. Programme and Location: The Engineering Doctorate Researcher will follow the EngD in Model-Based Systems
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exchange ratios (ERs) to separate NEE signals into GPP and TER components. Data will be collected from the Weybourne Atmospheric Observatory in Norfolk, and using the ‘OXYMOBILE’ mobile laboratory
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, Biochemistry, or Natural Sciences. Minimum academic requirement - A 2:1 undergraduate degree with a Masters qualification. Start Date: 1 October 2026 Additional Funding Information This PhD project is in a
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quantum systems can range from Markovian (“no memory”) to non-Markovian, where information is exchanged in both directions between system and environment. The relationships between light emission, quantum
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astrophysics, and reproducible research software development. Candidate Profile We welcome all applicants with a background in: • Physics, Astrophysics, Data Science, Applied Mathematics or a related field
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aerospace companies, space agencies, advanced technology companies and academia. You could pursue roles in structural analysis, simulation and certification, data-driven design, or research leadership in