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health economics, labour economics, economics and econometrics. We will also consider other quantitative disciplines such as data science, mathematical statistics, actuarial science or public health
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relevant discipline. Relevant disciplines include health economics, labour economics, economics and econometrics. We will also consider other quantitative disciplines such as data science, mathematical
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econometrics. We will also consider other quantitative disciplines such as data science, mathematical statistics, actuarial science or public health or psychology with strong statistical training. You can check
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from other quantitative disciplines – such as data science, mathematical statistics, actuarial science, public health, or psychology – who have strong quantitative skills and an interest in causal
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four years. Scholarship Details Maximum number awarded 2 Eligible courses Any HDR students wishing to study in the engineering/mathematics field. Eligibility criteria Local and international students
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in the stated field. Noting that for Theme 1, there is an additional requirement for applicants to hold an undergraduate and/or postgraduate degree in Mathematics. Stipend: The scholarship will be
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. At least one degree should be geodesy/surveying, mathematics, physics, engineering or related course. Additionally, the applicant should preferably have experience in: research and programming skills in
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English language requirements. Completion of a bachelor (honours) degree or master degree by research in: civil engineering geotechnical engineering petroleum engineering mechanical engineering applied mathematics
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publication, assessed at a La Trobe Masters by research standard of 75 or above This is a cross-disciplinary research project that spans artificial intelligence, quantitative finance, and applied mathematics
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Mathematics, Data Science, Computer Science Engineering, Artificial Intelligence, and Information Technology will also be considered, but it will further be required that they also have a strong interest in