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for this project. The successful applicant will be required to hold a Working With Children Check (WWCC) and police check, at their own cost, in order to undertake field work and to be onboarded with FNLRS data
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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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Acknowledgement of Akuru collaboration in all outputs. Governance & Ethics Projects involving patient or staff data will require ethics approval and must comply with University of Adelaide, SA Health, and partner
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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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measurements in particle physics. Many of my projects are informed directly by current measurements, e.g. addressing new or unexpected features seen in the data. Others focus on improving the formal accuracy
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PhD Scholarship Develop multimodal machine learning models to predict glioblastoma treatment outcomes using imaging and clinical data. Work with real-world data from John Hunter Hospital in a
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a relevant discipline. Relevant disciplines include health economics, labour economics, economics and econometrics. We will also consider other quantitative disciplines such as data science
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Status: Closed Applications open: 5/09/2024 Applications close: 31/12/2025 View printable version [.pdf] About this scholarship Description/Applicant information This scholarship is funded by CSIRO
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and conditions regarding privacy and collection of personal information set out in the Declaration and Authority at the start of your application. Please send the email expressing interest to graduate
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of system and data confidentiality and complete any other requirements. Desirable skills: Experience in programming (C, python, or similar). Knowledge in machine learning or distributed systems. How to apply