10 assistant-professor-computer Postdoctoral research jobs at University of New South Wales
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Australia’s global university, improving and transforming lives through excellence in research, outstanding education and a commitment to advancing a just society. Why your role matters The Research Assistant
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independent lines of investigation within the broader research program. The role of Post-Doctoral Fellow will report to Head of the Bull Lab. Some skills required: A PhD in virology, immunology or in a related
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undertaking independent and or team research on Scientia Professor Buckley’s Australian Research Council (ARC) Laureate Research Program entitled “The Financial Data Revolution: Seizing the Benefits
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be responsible for executing and coordinating research for the Professor of Clinician Psychology. Some key skills required: A PhD in a psychology or related discipline. Demonstrated experience working
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CEPAR’s Asia program. Conduct research independently or as part of a team. Build and use models, software, and databases; analyse data and share findings. Help prepare funding applications with guidance
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to develop their research expertise relevant to their particular field of study. The Senior Research Associate/Post-Doctoral Fellow will report to the Professor of Orthopaedic Surgery, St George Clinical
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responsible for the conduct of experiments and analysis of data related to a program developing novel therapeutic approaches for ocular and/or vascular disease. The incumbent will be a key contributor in this
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participation in conferences and workshops, and your active engagement with industry partners. This role reports to Associate Professor Ailar Hajimohammadi, and has no direct reports Level A, Salary - $110,059 to
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on using creative methods and cutting-edge social theory as well as research translation and engagement strategies. The role of Research Associate/Post-Doctoral Fellow reports to the leading Professor and
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or a related field (e.g. statistics, risk management, economics, quantitative finance) Proven research experience in aged care, longevity, or health risk Strong skills in data analysis and computational