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strong background in artificial intelligence, machine learning, and data analysis. Additionally, experience in healthcare informatics, user experience research, and a commitment to improving mental health
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PhD-level courses (about 36 European credits) in information economics/ operations management, econometrics, machine learning, extensive data analytics and qualitative research methods. The training can
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three main projects. (1) The recruited PhD student will perform natural language processing and machine learning research into AI-augmented coaching to provide a pre-coaching session AI-based question and
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, data skills and machine learning methods for effectively handling micro-level panel data, providing valuable skills for future careers. A Masters degree is not a prerequisite. Undergraduate and master’s
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on disadvantaged ones. You will work with top researchers in data science (UTS) and social sciences (WSU and ANU) to develop statistical machine learning solutions for social good. This 3.5-year PhD project focuses
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have the opportunity to work with a team of leading researchers, to undertake your own innovative research in and across the fields of robotics, electrical power and signal processing, machine learning
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– it is, in the words of Senator Fulbright, a means of fostering “leadership, learning, and empathy between cultures… It is a modest program with an immodest aim – the achievement in international
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of over 30 years in the Department of Electrical and Computer Engineering. Students from her very first PhD graduate in 1985 to current lab members expressed deep appreciation for her profound generosity