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), singular optics, using electrons, atoms and light and the exploration of complex systems using statistical field theory. "Catastrophes on order-parameter manifolds" (with Dr Alexis Bishop and Dr Timothy
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This Masters or PhD project aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain ML predictions and
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with strong statistical training. You can check your eligibility with the PhD readiness tool . For full information on eligibility and English language requirements, please visit Monash Business School
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PhD Scholarship in Applied Economics on “Firm Closures, Layoffs, and Their Impacts on Workers and Families”, Centre for Health Economics, Monash Business School Centre for Health Economics Job
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statistics, actuarial science or public health or psychology with strong statistical training. You can check your eligibility with the PhD readiness tool . For full information on eligibility and English
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or psychology with strong statistical training. You can check your eligibility with the PhD readiness tool . For full information on eligibility and English language requirements, please visit the Monash Business
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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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concentration of economists working in health in the Asia-Pacific region and the largest Health Economics PhD program in Australia, reflecting the reputation of our researchers and the quality of their mentorship
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PhD Scholarship in Applied Economics on “Firm Closures, Layoffs, and Their Impacts on Workers and Families” Job No: 688623 Location: Caulfield campus Employment Type: Full-time Duration: 4.5-year
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privacy constraints, robust solutions are essential. This PhD project will develop methods for building reliable medical imaging models that generalize across distribution shifts without retraining