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community, and willing to take a 'hands on' approach from the outset. Willingness and ability to travel nationally and internationally for data collection and workshops. Desirable PhD in a relevant discipline
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This 3.5 year PhD project is fully funded and home students, and EU students with settled status, are eligible to apply. The successful candidate will received an annual tax free stipend set at
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of the work such as informing industry standards for aero engine operability. While working on this exciting research project, you will be provided with: A fully funded 4 year full-time PhD - £24,000
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Embark on a ground-breaking PhD project harnessing the power of Myopic Mean Field Games (MFG) and Multi-Agent Reinforced Learning (MARL) to delve into the dynamic world of evolving cyber-physical
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, multidisciplinary PhD research projects across areas such as: Zero Emission Technologies. Ultra Efficient Aircraft, Propulsion, Aerodynamics, Structures and Systems. Aerospace Materials, Manufacturing, and Life Cycle
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for Research Associate • PhD in any related areas, preferable in an interdisciplinary topic (e.g. Computational Neuroscience, or Biomedical Engineering) Newcastle University is a global University where
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Research theme: Nuclear thermal-hydraulics How to apply:uom.link/pgr-apply-2425 How many positions: 1 This 3.5 year PhD is fully funded, home students and students with settled status are eligible
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disruptive aircraft configurations involves combining advanced engineering practices, including computing power, sensing, AI/ML, and system-level engineering. Comprehensive verification and validation
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catalytically active metals to drive chemical reactions with light [3-4]. The specific goals of this PhD project are to 1) understand how plasmonic Mg nanoparticles and their surface oxide layer attract and
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Supervisory Team: Leonardo Aniello, Han Wu PhD Supervisor: Leonardo Aniello Project description: Blockchain and Federated Learning (FL) are two emerging technologies that, when combined, offer a