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biologically-inspired deep learning and AI models (NeuroAI). The computational models we work with include vision deep learning models (including topographical deep neural networks), multimodal vision and
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Unit at the University of Cambridge provides an ideal place to commence a career in Biostatistics. Our thriving PhD programme is hugely successful and competition for places is high. The BSU's relaxed
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Fixed-term: The funds for this post are available for 3 years. A doctoral studentship is available in the forthcoming Aspirational Computing Lab (February 2026) in the Department of Computer
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application of computational tools for the early detection and deconstruction of chromosomal instability in cancer” For further information about the research group, including their most recent publications
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Fixed-term: The funds for this post are available for 3.5 years in the first instance. Dive into the future of visual technology with a studentship at the forefront of modern imaging science, where
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for scalable, data-rich design and operation frameworks within diverse building contexts. For project-specific enquiries please e-mail Prof. Dongfang Liang, dl359@cam.ac.uk . For general enquiries, please email
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The Centre for Doctoral Training in Nanoscience and Nanotechnology (NanoDTC) at the University of Cambridge invites applications for its 3.5-year interdisciplinary PhD programme. The programme
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of materials. Applicants should be self-motivated, able to take ownership of their research, and effectively communicate their research findings. Training in all the computational and experimental methods will
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the computational and experimental methods will be provided in the projects, although relevant previous experience would be advantageous. Applications for this PhD project should be submitted via the University
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that meet scalability, fresh and hardened state, and lower carbon goals, and inform how novel concrete mixes can be adopted and used with confidence more quickly. For project-specific enquiries please e-mail