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automated, augmented or unaffected by emerging technologies. Using this data, a classification algorithm is then trained to predict the probability that an occupation in the data-set is automated
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automated, augmented or unaffected by emerging technologies. Using this data, a classification algorithm is then trained to predict the probability that an occupation in the data-set is automated
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partners and other non-specialist audiences. demonstrated ability to work with increasing autonomy while collaborating effectively within multidisciplinary, geographically distributed and multi
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the State or enrolled at one of their universities. For information consult the following: https://www.gwnsw.org.au http://www.afuwsa-trust.com.au/postgraduate-scholarships/ http://gwq.org.au/awards
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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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STATA are preferred but professional development can be provided where necessary. The successful candidates will work under the supervision of Professors Maria Inacio ( https://research.sahmri.org.au
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: https://pierrickbourrat.com/ Prof. David Raubenheimer: https://profiles.sydney.edu.au/david.raubenheimer Emer. Prof. Paul Griffiths: https://tmbiosci.org/person/?personId=90 How to Apply Please apply
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reference https://www.monash.edu.my/research/support-and-scholarships/gems-scholarship Learn more about minimum entry requirements .
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Other Funding reference https://www.monash.edu/ai-data-science/scholarships Learn more about minimum entry requirements .