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software. *This position requires a criminal history and qualifications check. Enquiries: Associate Professor Darrell Kemp at [email protected] Applications Close: Tuesday 29 September 2026 at 11:59 p.m
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and complex system simulations develop, implement, test, and benchmark computational models, algorithms, data pipelines, and research software prototypes contribute to optimisation, simulation, sampling
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, algorithms, data pipelines, and research software prototypes contribute to optimisation, simulation, sampling, or uncertainty-modelling approaches for complex systems analyse infrastructure, spatial, temporal
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, algorithms, data pipelines, and research software prototypes contribute to optimisation, simulation, sampling, or uncertainty-modelling approaches for complex systems analyse infrastructure, spatial, temporal
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for research leadership. A track record of significant involvement with the profession and/or industry. High level communication skills and ability to network effectively and interact with a diverse range of
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reduction for data with complex structures, including but not limited to, multi-way clustered, spatial-temporal, and network dependence. The successful applicant will be jointly supervised by CIs Linh Nghiem
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staff to supervise research and teaching, 51 fixed term staff and postdocs, 97 postgraduate students and 2,288 equivalent full-time student-load undergraduate students. To learn more about the School
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applicants is received. Why Join Us? Macquarie is a university engaged with the real and often complex problems and opportunities that define our lives. Since our foundation over 60 years ago, we have aspired
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and qualitative data analysis software. Excellent oral and written communication skills and experienced conducting systematic reviews. Demonstrated capacity to work independently and collaboratively
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of statistical dimension reduction for data with complex structures, including but not limited to, multi-way clustered, spatial-temporal, and network dependence. The successful applicant will be jointly supervised