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learning algorithms and system architectures Methods for exploiting modern system architectures for high-performance AI Methods for embedding machine learning in large-scale deployment of distributed cyber
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) and a good understanding of genetic and molecular biology concepts are also required. Knowledge in CRISPR-Cas9 technology, as well as familiarity with artificial intelligence and machine learning
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– AI and machine learning (led by Prof. Huiyu Zhou), High-performance and distributed systems (led by Prof. Ashiq Anjum), and Trusted Autonomous Systems (led by Prof. Shigang Yue). Your research should
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-of-the-art machine learning methods in order to develop new wetland extent datasets. These data will be used to complement and test state-of-the-art hydrological modelling capabilities to better understand
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to demonstrate knowledge in the dynamic subject area of marketing analytics, including data visualization, data analytics techniques, and AI machine learning. For the Teaching and Professional Practice route, you