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within the global top 40. The department has around 35 academic staff, 15 research staff, 40 PhD students, 20 MSc by research students and 250 undergraduate students. Its research covers a spectrum of
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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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, orchestration, and composition of ML pipeline (AutoML) Evaluate “environmental footprint” of Green AutoML, TinyML, MLOps, Edge AI, and cloud computing. Develop green AutoML solutions and their integration within
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