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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 6 hours ago
markets and social platforms using ML, game theory, and computational economics. We welcome applicants with diverse skills and research methodologies. To enquire about this opportunity, please contact About
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of computational models in psychology, preferably in human factors. Position description: POSITION DESCRIPTION - [Research Associate or Research Fellow (Psychological Science)] - Level [A] or Level [B].docx
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to) the social sciences (e.g., psychology or sociology); urban studies; organisational studies; computational social science; or fire, civil or humanitarian engineering; or equivalent in relevant field. Preferred
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research team working at the intersection of nanotechnology and clinical sciences. You will contribute to the development of cutting-edge technologies for precision diagnostics, biosensing, and application
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fast-readout electron detectors to validate the methods developed. The successful candidate will have a PhD in Physics, Materials Engineering, Computer Science or a closely related field. Research
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people who discover them The Opportunity The Department of Electrical and Computer Systems Engineering is seeking applications for a Level A Research Fellow to contribute to a high-impact research project
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an interdisciplinary, purpose-driven team. You have: A postgraduate qualification in Computer Science, Data Science or related field Extensive experience working with large-scale, high-frequency (waveform) data
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public engagement. This is a unique opportunity to contribute to a nationally significant research program with real-world impact. If you are passionate about environmental science and ready to take the
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in developing a citizen science program. Extensive experience in microplastic pollution research. Project management experience working with a range of stakeholders. Demonstrated experience with
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School of Molecular Sciences ARC Centre of Excellence in Plants for Space Integrate advanced cell imaging and synthetic biology to create and characterise the first fully artificial plant chromosome