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automation. 14. Ability/willingness to supervise PhD students and work as part of a larger team. 15. Optical/laser lab experience. 16. Experience with machine learning platforms such as TensorFlow, scikit
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/Science or Mathematics or related areas. Experience in development of AI/Machine learning algorithms with proven track record in using machine learning and artificial intelligence software libraries (e.g., Scikit-learn
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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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, sleep medicine, imaging science, immunology, machine learning/AI, psychiatry and cognitive neuroscience to examine the links between Atopic Dermatitis (AD), pruritus, sleep disturbance and altered brain
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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