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, machine learning, or science that will establish eligibility for PhD study. Applications close on 28 November each year. For more information and to apply visit The Patrick Shannon Scholarship . RMLA
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ability to learn new skills quickly Ability to effectively prioritize work and problem-solve Demonstrated experience with computers and computer software including MS Word, PowerPoint, Excel, and citation
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related field Excellent organization, planning, interpersonal skills Knowledge of computer hardware and software, including Excel spreadsheets Written, verbal and comprehension abilities in
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/machine learning, and programming analyses. Demonstrated ability to conduct independent research in the remote sensing of vegetation, including leading research and overseeing postgraduate and honours
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of preprocessing and recycling processes and technologies relevant to biorefineries and UT-ORII’s CBS CRI. Working knowledge and/or experience using artificial intelligence and machine learning tools to enable
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researchers, to undertake your own innovative research in and across the fields of robotics, electrical power and signal processing, machine learning and AI within the School of Electrical Engineering and
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of Philosophy in Electrical and Computer Engineering (PhD) Cross Stack Optimizations for large Deep Learning Models Andrew David Gunter Doctor of Philosophy in Electrical and Computer Engineering (PhD) Reducing