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develop a new three-dimensional adjoint model of glacial isostatic adjustment, with a focus on East Antarctica. The position is part of a new prestigious ARC Laureate Fellowship team of about 15 researchers
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$85,555 - $116,094 p.a. (*PhD entry level $108,156 p.a.) plus 17% super Pioneer research in modelling heterogeneous populations through collaboration with leading institutions to advance mathematical
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climate resilience. Working within a world-class research environment, you’ll combine your skills in plant and crop physiology, modelling, phenotyping, data science, and statistics to uncover insights
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greatest chance of success. Details of the role The Research Fellow (Health Economist) will work in partnership with economists, epidemiologists mathematical modellers, and social scientists to evaluate
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with verifiable experience in longitudinal data analyses methods, structural equation modelling, network analysis, machine learning and/or adaptive trial design. Essential are outstanding academic
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level B and C minimum 3 years post-PhD experience for Level C significant experience conducting original research and engaging in scholarly activity strong analytical skills in modelling time trends and
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demonstrating values-based leadership that supports wellbeing, inclusion, and organisational excellence. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic
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for Big Data Research in Health (CBDRH), strategically partnered with the School of Clinical Medicine (Women’s Health) at the University of New South Wales, Sydney (UNSW). This positioning places the NPESU
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, stability/perturbation theory/rigorous numerics. Possible applications of the new theory include the analysis of spatiotemporal data arising from weather and climate observations/models and from models
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to: lead advanced biostatistical and econometric analyses across large and complex health datasets contribute to the team’s publications, grant applications, and scholarly outputs manage and curate data