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Field
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statistical analysis plans Success in obtaining external research grants Record of supervision or co-supervision of PhD students to successful completion Knowledge of modern statistical methods including
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-method experimental programs and bring the independence, rigour and collaborative spirit needed to lead a major strand of a nationally significant research project. Selection Criteria: PhD in neuroscience
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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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to the development of new concepts, methods, and scalable systems for networked digital twins that support autonomous decision infrastructure for adaptive action with human oversight. This project is part of
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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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Postdoctoral Research Associate in Neuromorphic encoding for biological neurocomputation who has: a PhD (or near completion) in physics, engineering or a closely related field strong knowledge and skills in
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degree, as well as a postgraduate PhD research program for over 50 students. 33 academic staff conduct theoretical and experimental research in quantum physics, astrophysics, fundamental physics; 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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for applied, impact-driven research. You bring: A PhD in Information Systems, Management, Implementation Science, or a related discipline. Demonstrated expertise in qualitative research methodologies
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of two referees), a statement of research interests and achievements. Essential A PhD or equivalent degree in plasma physics/high energy density science/computational science. Experience in