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Field
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ultrafast, energy-efficient magnetic switching, a key step toward faster and greener computing. This PhD will pioneer THz spintronics — a new frontier where ultrafast optics meets magnetism. Using femtosecond
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for scientific publishing, international conference presentations, and professional development through the supervisors’ extensive networks in academia and industry. Research Environment: The project is hosted
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-performance computing and simulation-based inference (e.g. neural network emulators or nested sampling) Training will be provided in all aspects of the project, including computational statistics, stellar
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principles molecular dynamics simulations. You will contribute to the development of novel work flows as well as to the training, testing and application of latest neural network methodologies. Applications
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methodologies compatible with epidemiological principles to produce high-quality evidence and tools. In this inter-disciplinary PhD project, you will collaborate with other researchers from the NCSR in the above
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dynamic mobility network to better capture the complexities of disease spread. The project focuses on two core objectives: Adaptive surveillance: designing policies that actively allocate testing resources
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the programme code: 8100F · select ‘PhD Chemistry (full time)' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: · a ‘Personal
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architected materials or metamaterials (MTM) that can undergo targeted non-linear response. You will develop a computational framework that can reveal novel Multiphysics (thermo-mechanical) MTM solutions
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3.5-year D.Phil. studentship Project: Computational Fracture Mechanics Supervisors: Prof Emilio Martínez-Pañeda Oxford’s Mechanics of Materials Lab is seeking a PhD (DPhil) student to support the
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About the Project Project details: This PhD project will involve the design and development of 'place based' indices and processes for measuring and improving human and planetary health and