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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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and cancer immunotherapy. Develop your expertise and research profile working with a high performing team on cutting edge research in state-of-the-art facilities. In this role, you will be expected
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and journals, with preference given to A*-rated venues. Research Track Record: An emerging track record and recognition for quality research outputs in cybersecurity, including the development of new
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or computational frameworks. Strong interest in method development, including algorithms and/or scientific software development, with a willingness to contribute to codebases or tool creation. Evidence of
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Australian National University | Canberra, Australian Capital Territory | Australia | about 1 month ago
at the John Curtin School of Medical Research (JCSMR), within the ANU College of Science and Medicine. This role will lead the development of advanced deep learning frameworks—including graph neural networks
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of Mechanical and Mining Engineering, where innovation meets impact. As a key member of this dynamic team, you will develop cutting-edge computational models of two-phase flow in fractured media — ranging from
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Alliance for Agriculture and Food Innovation (QAAFI). This is a unique opportunity for you to focus your efforts on developing your expertise and emerging research profile in advanced polymer chemistry in
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, conservation and museum partners, and other national and international agencies. This diverse, supportive environment fosters cross-disciplinary learning, professional development, and meaningful contributions
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to research-based activities, including the development of new data analysis algorithms, processing and analysis of field data, and participation in the fieldwork. Your responsibilities will include: Conduct
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extraordinary ideas - and the people who discover them The Opportunity We are seeking a highly motivated Research Fellow to join the Faculty of Science and School of Physics and Astronomy to develop methods