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Join a research group pioneering the field of lung function imaging in radiotherapy Located at South Eveleigh Biomedical building in the Faculty of Medicine and Health Two-year full time fixed term
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neuroimaging (particularly functional) is required, and ideally the candidate will have experience in linking imaging methods with cognitive, neurobiological or computational modelling frameworks. Your key
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University of New South Wales | Canberra, Australian Capital Territory | Australia | about 15 hours ago
Apply now Job no:533312 Work type:Full Time Location:Canberra, ACT Categories:Post Doctoral Research Associate Post-Doctoral Fellow, UNSW Canberra Employment type: Full-time (35 hours per week
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process: We encourage applications from enthusiastic and talented early-career researchers. Please click on Apply now to apply online. Please send your CV and a cover letter outlining your research
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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
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Apply now Job no:533731 Work type:Full Time Location:Sydney, NSW Categories:Post Doctoral Research Associate Post-Doctoral Fellow (Centre of Research Excellence in Depression Treatment Precision
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Apply now Job no:533472 Work type:Full Time Location:Sydney, NSW Categories:Post Doctoral Research Associate Post-Doctoral Fellow - Pathology Employment Type: Full - time (35 hours a week) Duration
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Apply now Job no:533113 Work type:Full Time Location:Sydney, NSW Categories:Post Doctoral Research Associate Post-Doctoral Fellow Employment Type: Full - time (35 hours a week) Duration: 2 years
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presents an exceptional opportunity for a suitably qualified and motivated individual to engage in applied research at the intersection of artificial intelligence , process monitoring , machine learning