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were constructed. The results will be compared with those for a charged scalar field [2]. The second part of the project involves computing the renormalized expectation value of the stress-energy tensor
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Finding and measuring growing black holes in the next generation of astronomical surveys
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Application Deadline: Applications accepted all year round Details The SBND (Short-Baseline Near Detector) experiment is part of the multi-detector Short Baseline Neutrino (SBN) programme located along
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collaboration with diverse communities, researchers, clinicians, and policy experts. You will work alongside a multidisciplinary team and use both qualitative, quantitative and computational modelling methods
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. To fill in this gap, in collaboration with industrial partners, the research will develop novel Machine Learning and Computer Vision methods for detecting and localising. These will be used to develop
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constitutive relationships directly from data, ensuring both predictive accuracy and interpretability. The project places strong emphasis on rigorous mechanics, inverse modelling, and computational
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collaborative researcher to lead the design and implementation of both experimental and computational modelling studies. In this role, you will develop innovative diagnostics to measure how various media
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trenching, remoulding, and pore-pressure variation. This project will develop a new computational model to simulate seabed–mooring interaction at the particle scale. It will combine the Discrete Element
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of programme level approach in the School and contributing to the strategic development of the portfolio. This will involve coordinating high quality and consistent programme and module information in various
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Fully-funded PhD Studentship in Metamodelling of Speech Domains School of Computer Science PhD Research Project Directly Funded Students Worldwide Prof Thomas Hain Application Deadline: 19 April