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via the University of Nottingham admissions portal: https://www.nottingham.ac.uk/pgstudy/course/research/2026/chemistry-phd View All Vacancies
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datasets from Kepler, TESS, and PLATO to reassess trends in exoplanet occurrence, structure, and evolution. Methods and Tools The project will involve: • Bayesian inference (hierarchical models, posterior
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contribute significantly to these growing fields. This PhD position is ideal for candidates interested in the following areas of machine learning: Geometric learning: exploiting the structure of data (e.g
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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ The project is funded in collaboration with Ramboll and Buro Happold who work across diverse projects with key clients focused
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Research Council grant (https://cordis.europa.eu/project/id/101161183 ). Uncontrolled wildfires are a global phenomenon that are becoming more commonplace as changes in moisture and local temperature driven
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statement that shows evidence of engagement with this advert. Further information on the PhD in Computer Science programme can be found at: https://www.cst.cam.ac.uk/admissions/phd All applications should be
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methods including biomarker assessment using blood, urine, saliva, and hair samples, structural and functional neuroimaging, and questionnaire and behavioural assessments. The project will bring a unique
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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: http://www.eigenket.org/ The successful candidate will receive comprehensive training and will work alongside experienced postdoctoral researchers and other research students. The project will involve
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Topography. Examples of post-storm relevant spaceborne missions include, BIOMASS L-band Synthetic Aperture Radar (SAR), NISAR SAR, and GEDI LiDAR, that can capture structural information about the forests