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background in a biological science (e.g. genetics, molecular biology, zoology, evolution), and have strong interests in genomics, data analysis and evolution. Entry requirements The standard minimum entry
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degree. Mode of Study Full-time Start Date 1 October 2026 Funding Information: This PhD project is in a competition for a Faculty of Science funded studentship. Funding is available to UK applicants and
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interdisciplinary training, suitable for candidates from biochemistry, molecular biology, computational biology, chemistry, or data science backgrounds. You will gain experience in: Molecular modeling, QM/MM & MD
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fluctuate across tidal to seasonal timescales, as existing data consists primarily of isolated measurements. Understanding coastal Ca²⁺ and Mg²⁺ dynamics across ecological timescales is crucial for advancing
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signals from the star itself. Especially in radial velocity data, essential to measure a planet's mass, these signals are often larger than the planet signals. With Dr Annelies Mortier, projects
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Driven by our data hungry society, chip-to-chip and device-to-device data bit rates will need to reach terabits per second in a not distant future. Such data rate will only be met if there is a
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Geological Survey, Centre for Ecology and Hydrology, the Natural History Museum and Plymouth Marine Laboratory. The partnership aims to provide a broad training in earth and environmental sciences, designed
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Applications are invited from PhD studentship candidates with good first degrees in computer science, physics, maths, biology, neuroscience, engineering or other relevant disciplines to join
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Geological Survey, Centre for Ecology and Hydrology, the Natural History Museum and Plymouth Marine Laboratory. The partnership aims to provide a broad training in earth and environmental sciences, designed
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peristalsis throughout the intestine. The outcome will address a clear clinical need by providing sensitive, localized motility data to improve diagnosis of neuromechanical GI disorders. The sensor will rely