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Field
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Innovation (QAAFI) and be at the forefront of agricultural innovation. In this role, you will help shape the future of canola breeding by developing and refining cutting-edge predictive breeding methods in
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or near completion of a PhD in Economics, Finance, Environmental Studies, or a related discipline (awarded within the last three years; candidates who have submitted their thesis are encouraged to apply
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research methods, software and tools in a relevant research context. Proven scholarly writing skills (Level D) and experience in preparing publications for a variety of audiences, including detailed project
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leadership within a program of research focused on fetal alcohol spectrum disorder design, lead and contribute to qualitative and mixed-methods research projects conduct rigorous literature reviews, evidence
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and experience: Qualifications PhD in Computer Science, AI, Machine Learning or related field Experience A strong research track record relative to opportunity, including the ability to produce and
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large-scale / asymptotic behaviour of algebraic and categorical constructions. The aim is to develop general methods and apply them to concrete families arising across modern representation theory. Your
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promotions process. About You PhD in a relevant discipline (e.g., environmental science, hydrology, environmental engineering, pollutant modelling, or environmental risk assessment). Demonstrated expertise in
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and visual analytics, including designing interactive tools, applying human-centred methods, publishing outputs, and contributing to funding applications and collaborative projects. Supervision and
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policy outputs Adhere to AIATSIS Code of Ethics and Indigenous Cultural and Intellectual Property protocols About You: A PhD in a relevant discipline (e.g. geography, planning, political economy, law
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the successful candidate, you will bring: Essential A PhD (or submission completed prior to commencement) in a relevant discipline such as Electrical, Mechanical, Environmental or Software Engineering