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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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Institute, with close ties to the Department of Computer Science and Technology. Preferred skills/knowledge We are seeking a passionate and collaborative PhD student with a strong background in machine
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techniques for modelling and monitoring the infusion and curing process and this PhD will bring these elements together to form a digital twin of the process. This digital twin will be used to predict
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-partnership MIBTP Programme Code for this project: 167D PhD Biosciences FT (MIBTP) How to apply: To apply, please click on the 'Apply' button above, make an account, and submit an application via the university
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Research Studentship in Neural Engineering 3.5-year D.Phil. studentship Project: Sleep classification for implanted neurostimulation systems Supervisors: Dr. Joram van Rheede, Prof. Timothy Denison
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Primary supervisor - Prof Larissa Samuelson We invite applications to an exciting opportunity for a fully-funded PhD studentship examining the basis of variability in young children’s early
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-funded 3.5-year PhD scholarship for Home and Overseas students. You can apply for a PhD on the topic “Digital Trust in the Computing Continuum: Trustworthy Path Agility for Computing Continuum transactions
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of short-axis MR image sequences. Training You will be based at the Vision Computing Lab within the School of Computing Sciences, which specializes in deep learning for medical image analysis and neural
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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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scanning confocal microscopy and calcium imaging in time-lapse, computational imaging approaches for analysis of images and movie recordings, analysis of the connectome to identify neural circuits