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, biology, or a closely related discipline Desirable experience: optics and photonics, AI/machine learning, biology, or biomedical sciences Excellent English, analytical, and problem-solving skills UK
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into the generation process. This multidisciplinary project will deliver deployable models, reproducible methods, and, where allowed, shareable datasets. The student will gain training in deep learning, AI, image
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syndrome. Targeted projects currently include the following: Use AI/machine learning approaches to develop a means to quantify and classify tic movements and vocalisations in Tourette syndrome/tic disorder
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learning) to combine datasets and preserve extremes. Uncertainty will be quantified explicitly, with outputs designed to inform both researchers and practitioners. The resulting dataset, open-access and user
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with, cloud computing and virtualisation technologies Familiarity and hands-on experience with machine learning techniques desirable Desirable to have work experience (through internships or similar) in
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partnership with business, professions, the public services, the third sector and other research and learning providers. Applications are invited from potential doctoral students for the following social
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with the CHILI Hub (Child and adolescent Health Impacts of Learning Indoor environments under net zero), a five-year UKRI and NIHR funded project in collaboration between five universities (UCL, Leeds
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processes associated with CIN [1], leveraging single-cell DNA sequencing understand CIN heterogeneity [2], and development and implementation of machine learning and AI models to imaging data [3]. The student
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technology, publish in top journals and attend international conferences, learn sought after transferable skills, contribute to novel scientific knowledge, and work alongside friendly, enthusiastic experts
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Company description: We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development