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To be eligible to apply, you must:
Applicants for this scholarship should be aiming to commence in Research Quarter 1, 2023 (January commencement), or Research Quarter 2, 2023 (April commencement).
Your application will be assessed on a competitive basis.
We take into account your:
The candidate will have a good background in data science, data analytics, or machine learning, preferably with expertise in predictive analytics, graph mining, and causal inference.
Experience working with and mining structured and unstructured data from multiple sources is also desirable.
Proficiency in Python programming language and machine learning software packages such as Tensorflow and Pytorch is required.
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