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. Applicants with training in quantitative and empirical research and experience in requirements engineering, safety-critical systems, or AI/ML/LLMs/Knowledge Graphs are especially encouraged to apply. This PhD
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are possible (in coordination with Prof Ulrik Egede) or with other Monash supervisors on a case-by-case basis. "Confronting Theory and Experiment at the Large Hadron Collider" "Simulations of Quark and Gluon
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). "Statistical field theory applied to complex networks” "Quantum geometrogenesis – Graph theoretic approaches to building spacetime” web page For further details or to discuss alternative project arrangements
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economics, labour economics, economics and econometrics. We will also consider other quantitative disciplines such as data science, mathematical statistics, actuarial science or public health or psychology
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disciplines include health economics, labour economics, economics and econometrics. We will also consider other quantitative disciplines such as data science, mathematical statistics, actuarial science or
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quantitative disciplines such as data science, mathematical statistics, actuarial science or public health or psychology with strong statistical training. You can check your eligibility with the PhD readiness
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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