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Principal Research Fellowship To be suitable for a Vice-Chancellor's Indigenous Principal Research Fellowship, it is expected that you will have an excellent track record and international recognition
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 1 day ago
Level B – Research Fellow The ideal candidate will hold a PhD in physics or a related discipline and have an established track record of independent research, including publications, collaborations, and
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related field with a focus on algorithmic software design, development and deployment a proven track record in robotics, autonomous navigation, optimisation, mission operations, or space systems research
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experience with coding in Matlab, Python, or R. Strong track record in computational science, image analysis, or mathematical modelling of complex systems. Evidence of publications in reputed refereed journals
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, with an emerging track record in allergy research in the Australian context. Extensive experience in developing and conducting systematic reviews, ideally including living systematic review methodologies
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) Significance of the research (200 words) Track record detailing research experience (500 words) Projected outputs (200 words). Applications close 11.55pm Sunday 14 September 2025 The University reserves
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projects in computer vision and machine learning and has a very strong track record of publications in the top venues, and of successful technology transfer. Learn more at: www.aiml.com.au If you have the
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(e.g., SciFinder, Web of Science) for dereplication and prioritization. Experience in laboratory best practice OH&S. Track record of publishing original research in leading peer reviewed scientific
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radiation therapy. The primary aim of this research is to develop real-time target tracking and/or dynamic imaging algorithms for implementation within radiotherapy and medical imaging. Within our research
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disease patients using radiation therapy. The primary aim of this research is to develop real-time target tracking and/or dynamic imaging algorithms for implementation within radiotherapy and medical