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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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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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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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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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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
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
. WP1: Wireless-aware Data Representations and Embedding (Months 1–12): This WP will first design a structured data representation approach to encode spectrum information into token sequences compatible
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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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to search optimised model structures, complementing RL’s incremental updates. Consideration of robustness to various sources would be an objective too. Expected Contributions A novel framework combining
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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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investigate how regulatory, epigenetic, and structural mechanisms contribute to the balance or dominance among subgenomes. Miscanthus is a notable bioenergy crop, capable of growing on marginal land and