121 educational-technology-"https:"-"https:"-"https:"-"embl" PhD positions in Australia
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diverse academic backgrounds, including computer science, data science, learning sciences, or educational technology. While prior experience with programming (e.g., Python), machine learning, or
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diverse academic backgrounds, including computer science, data science, learning sciences, or educational technology. While prior experience with programming (e.g., Python), machine learning, or
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task-specific FL algorithms for NLP and Medical AI; 4) Design and implement a user-friendly FL framework for both research and technology adoption purposes. We expect to recruit a cohort of students
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immersive digital technology – such as Augmented and Virtual Reality – to tell stories in powerful, new and affective ways. By effectively breaking the dictatorship of the frame that has defined the
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research leading to creative outcomes (experimental artworks; design applications) that propose original and innovative scenarios of human-machine interaction and co-creation between technology and human
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on target detection: Neural and behavioural mechanisms. This exciting project is a partnership between Flinders University, University of Sussex, UK and Georgia Institute of Technology, USA. The
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Team hide_location Phone 3138 7624 Int. phone +61 7 3138 7624 Email [email protected] Website https://www.qut.edu.au/scholarships Postal address Queensland University of Technology GPO Box 2434
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Australian National University | Canberra, Australian Capital Territory | Australia | about 18 hours ago
has been developed there are few examples of economic analysis. Investment in water banking and MAR is constrained by lack of information and confidence about the economic viability of this technology
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publications, citations or scientific careers to test the implications of a model. References Fortunato, S. et al. “Science of science.” Science 359 (2018): eaao0185. https://doi.org/10.1126
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publications, citations or scientific careers to test the implications of a model. References Fortunato, S. et al. “Science of science.” Science 359 (2018): eaao0185. https://doi.org/10.1126