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machine learning classification of fluvial systems to generate a time-series of sediment erosion and deposition from optical satellite imagery. These data will be an essential component of the wider project
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. Candidates with strong track records in computational tropical geometry, non-archimedean analysis and geometry, machine learning, and related areas are encouraged to apply. Hybrid and flex working arrangements
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of a catalogue of material composition of satellites 2. Developing material degradation models and estimating the material properties based on life and degradation. 3. Developing machine learning
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