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- $103,789 per annum (plus 17% superannuation) About the Role Reporting to the Professor of Property and Housing Economics, you will contribute to the research efforts of UniSA Business, working in conjunction
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for the economic evaluation of interventions, based on statistical and economic principles. The appointee will have completed or be in the process of completing a PhD in applied mathematics, computer science
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The University of Melbourne Faculty of Business and Economics Department of Management and Marketing MULTIPLE ACADEMIC POSITIONS IN MANAGEMENT About the Organisation Founded in 1853, the University
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the work futures, labour markets, and economic security research area. At this level it is expected that the incumbent will efficiently manage service and engagement roles and activities. Key
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, including running training and workshops for researchers on government relations, hosting public events on a range of social, economic, and political issues, and supporting the development of policy skills
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within the Scalable Health Intervention Evaluation (SHINE) Program. It involves blending epidemiology with economics and data science to generate policy-relevant information on the health and economic
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within a Research Infrastructure? No Offer Description The University of Melbourne Faculty of Business and Economics Department of Management and Marketing MULTIPLE ACADEMIC POSITIONS IN MARKETING About
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Apply Now Register Already Registered? Login Application Close 17/05/2024 Andrew Thyne Reid Scholarship PGCA1016 Key High School Leaver Indigenous Australians Rural UAC & EAS Criteria Stage Minimum Value $25,000 available for Duration of program (minimum) Residency Aus Citizen / Aus Permanent...
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Classification: ANU Officer Grade 4 (Administration) Salary package: $71,854 - $77,739 per annum plus 17% superannuation Terms: Part-time, fixed term (up to August 2024) This is an exciting opportunity to join the Australian National University (ANU) as a Recruitment Assistant within the...
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This research project will build a comprehensive database of laboratory and field rockfall fragmentation events to allow the development and validation of a rockfall fragmentation prediction model to account for in stochastic rockfall simulations. We invite highly motivated and committed...