296 algorithm-development-"Multiple"-"Simons-Foundation"-"Embry-Riddle-Aeronautical-University" "Prof" Fellowship positions in Australia
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% Superannuation About the role: The Faculty of Science Engineering and the Built Environment is dedicated to being at the forefront of teaching, learning, creating and social development and fostering cutting-edge
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environment at the Department of Physics and Astronomy/ the Research Centre for Astronomy, Astrophysics and Astrophotonics. The successful candidate will collaborate closely with Prof. Daniel Terno and Prof
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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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Lucey, and AIML Chief Scientist, Prof Anton van den Hengel, their research team, and CommBank representatives to publish high-impact research and develop innovative AI solutions for the financial sector
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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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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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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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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
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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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modelling, and the economics of mental health Support economic analysis of healthcare utilisation, outcomes and costs using national datasets Develop and apply algorithms for cost-effectiveness analysis