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, focusing on high-performance deep learning for neural implicit reconstruction of ultrasound data. The goal is to advance the scalability and efficiency of neural radiance fields (NeRFs) and related
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the internationally renowned INTERGROWTH-21st Consortium. This role involves developing advanced deep learning techniques to identify early indicators of fetal vulnerability using clinically-acquired ultrasound (US
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methodology, theory, and applications across the areas of Bayesian experimental design, active learning, probabilistic deep learning, and related topics. The £1.23M project is funded by the UKRI Horizon
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electronic health records (EHRs) from multiple UK hospital centres using advanced data analytics including machine learning, deep learning, and statistical techniques—with a particular emphasis on deep
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This is a management role, and while deep technical expertise isn’t required, a strong appreciation for technical work and the ability to support technical colleagues is essential. As a key member of the
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the delivery lifecycle. With a deep understanding of QA practices, you will apply a risk-based approach to testing on a diverse range of software systems—learning fast and adapting even faster. If you thrive
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within the Social Sciences Division. We combine the deep understanding and expertise of an in-house team, fully integrated into the University’s unique culture, with the fresh perspective and strategic
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contribute to a programme exploring how experimentation and innovation unfold in public services, using immersive qualitative research methods such as fieldwork, interviews, and facilitated learning sessions
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for interfacing and interrogating cell and organoid models • Develop a deep understanding of cell-material interactions using an array of characterisation techniques ( e.g. 2D and 3D tissue reconstruction
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project will likely use a combination of single particle cryoEM, cryoET, and X-ray crystallography, you should be an expert in at least one of those techniques and keen to learn the others. You also should