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, the project accelerates trait data acquisition by applying computer vision to herbarium specimens and field photos, as well as large language models to extract complementary information from literature and
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, despite its widespread application, polygraph data capture and analysis has received limited systematic research and does not yet incorporate modern sensors, computing and analytical techniques. Project
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change impacts. Research methodology You will integrate multi-platform datasets from ship surveys and oceanic moorings, combining net-derived plankton data with image-based observations to investigate
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turbulent flows, as their mean strain is varied from high to low levels, and will document the failure of classical theories to describe intermediate strain regimes. The produced data-set will be utilized
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with the industrial partner. We welcome applicants from diverse backgrounds. For further information, please contact N.J.Morris@lboro.ac.uk or ws.phdadmin@lboro.ac.uk . Entry requirements: Applicants
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evolution. The project is about collecting data and analysing it in search for circumbinary planets. At Birmingham we search for such signals using radial-velocities, and the transit method, which means we
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of telescopes across the world to do this work as well as a telescope located in Antarctica called ASTEP. We also analyse data obtained by NASA’s TESS satellite to complement our analyses. SPECULOOS and ASTEP
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biostatistics. We develop, apply and promote innovative statistical and data science approaches to advance biomedical science and human health. The BSU current research portfolio is organised into five main
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. Closing dates: 14 January 2026 (10 December 2025 for Economics, Gender Studies, International Development, Law and Sociology) For further information on funding opportunities at LSE, deadlines and details
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mental health omics data more harmonized, accessible, understandable, and useful to researchers, clinicians, industry, and people with lived experience. You will work closely with a multidisciplinary team