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.) or similar unsupervised data modelling techniques. A strong practice of maintaining an open-source code repository. A solid theoretical background in semiconductor device physics or substantial practical
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or related discipline area. Experience and skills in coding and running analyses in R, and quantitative modelling to address scientific questions in evolution. Broad background knowledge of vertebrate
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on perfect codes in Cayley graphs and their connections to underlying groups. This role offers you the chance to develop your research expertise and make significant contributions to the field. Your
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bodies, industry, government departments, and the community as appropriate for this role. Uphold high professional standards in accordance with the University’s Code of Conduct. Research Conduct high
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of the University’s and CEVAW’s Code of Conduct and demonstrate fairness in behaviour, actions, and communication., ethics and professionalism Essential Criteria: A doctoral qualification in relevant
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drivers of compounding extreme rainfall events. Deliver well-documented code and datasets related to compounding extreme rainfall events. The successful candidate will also work closely with the Bureau
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techniques to improve the analysis of extreme economic events. Your work will involve developing statistical methodologies, coding analytical tools, and producing research with real-world policy impact. This