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algorithms for large-scale data analytics and optimisation problems. The research will investigate how quantum computational techniques can be combined with classical systems to improve performance
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algorithms for large-scale data analytics and optimisation problems. The research will investigate how quantum computational techniques can be combined with classical systems to improve performance
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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
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Other Funding reference https://www.monash.edu/ai-data-science/scholarships Learn more about minimum entry requirements .
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Primary supervisor Chern Hong Lim Co-supervisors Bisan Alsalibi Yasmeen George Research area Data Science and Artificial Intelligence While deep learning has shown remarkable performance in medical
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project's economic geology team, testing your models against real field and experimental data and seeing your results feed directly into questions about how magmatic ore deposits form and where they might be
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machine learning and/or data science at least to undergraduate level. A willing to learn the necessary amount of Economics and at least an interest in the future of employment. Learn more about minimum entry requirements .
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machine learning and/or data science at least to undergraduate level. A willing to learn the necessary amount of Economics and at least an interest in the future of employment. Learn more about minimum entry requirements .
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opportunities to work with the project's economic geology team, testing your models against real field and experimental data and seeing your results feed directly into questions about how magmatic ore