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of Australia project. Based at the EarthBank node within the John de Laeter Centre (JdLC) at Curtin University, you’ll have access to world-class analytical facilities and be embedded within the leadership team
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of Australia project. Based at the EarthBank node within the John de Laeter Centre (JdLC) at Curtin University, you’ll have access to world-class analytical facilities and be embedded within the leadership team
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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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at conferences, NDRI webinars and other opportunities for dissemination as they arise. Supervise and support Honours, Master’s, and PhD students in their research projects. Contribute to grant writing and
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characterise long-period radio transients. Conduct multiwavelength follow-up (e.g. optical, NIR, X-ray) to assess the properties and nature of detected sources. Perform evolutionary and population modelling
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competitive research program in surface science. Publish in high-impact journals and secure competitive research funding. Supervise Honours, Masters, and PhD students. Service & Facility Management Specialise
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will be based at Curtin’s Bentley campus and will work closely with interdisciplinary teams across Curtin and affiliated organisations. Your responsibilities will include: Lead and contribute to research
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competitive research funding. Supervise Honours, Masters, and PhD students. Service & Facility Management Specialise in the operation and maintenance of Time-of-Flight Secondary Ion Mass Spectrometers (ToF-SIMS
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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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Job Reference: 987915 About The Role: An exciting opportunity is available for a Level A and/or Level B academic with strong econometrics, data science, analytical, and statistical modelling skills