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, the project will integrate these data into a predictive framework to assess how MNPs disrupt plankton community dynamics and the efficiency of the biological carbon pump. The research will provide
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Funding: For eligible students the studentship will cover home tuition fees plus an annual tax-free stipend. About the Partnership This project is one of a number that are in competition for funding
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of wind tunnel components in elite motorsport. This interdisciplinary project will develop a data-driven approach to understand and predict how process settings, build orientation, machine variability, and
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overheating models by integrating TIR imagery with energy flux data, building physics parameters, and local weather conditions. Apply machine learning techniques for TIR and other open-source image analysis
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for computer, lab, and fieldwork costs necessary for you to conduct your research. There is also a conference budget of £2,000 and individual Training Budget of £1,000 for specialist training Project Aims and
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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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pass at UK MSc level or equivalent. Further information: https://centa.ac.uk/apply/ International students are eligible for studentships to a maximum of 30% of the cohort. Funding does not cover any
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resilience in the face of emerging tree diseases. For further information on this project and details of how to apply to it please visit https://centa.ac.uk/studentship/2026-b23-exploring-how-sulphur
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temperatures, with the former strongly correlated with surface ocean salinity. The project will build on existing post-expedition sample processing and pilot analyses. For further information on this project and
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pass at UK MSc level or equivalent. Further information: https://centa.ac.uk/apply/ International students are eligible for studentships to a maximum of 30% of the cohort. Funding does not cover any