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Field
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focus on collecting, processing, and harmonising appropriate geospatial data, providing geospatial data insights, and applying appropriate AI models for geospatial analysis based on the integrated data
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analysis. The successful candidate will work within a collaborative and interdisciplinary research environment and will have opportunities to develop independent research, publish in leading journals
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insights, and applying appropriate AI models for geospatial analysis based on the integrated data. This role is part of the project: Decision-support-tools for Spatial Planning and Cumulative Effects
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29 Jul 2026 Job Information Organisation/Company UNIVERSITY OF SYDNEY Research Field Computer science Economics Mathematics Environmental science Geosciences Researcher Profile Recognised Researcher
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talent aligned to these values and are looking for a Postdoctoral Research Fellow in Quantitative Analysis of Economic Impacts of Ultra-Processed Foods who has: PhD in Economics, Mathematical Sciences
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, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator algebras, complex analysis and logic. We have almost 50 persons in permanent
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. The person appointed will be expected to: Support the Principal Investigator of XR-Sync in data analysis and in report and academic paper writing, in order to meet project aims and objectives and deliver
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; surveillance-data analysis; and scientific manuscript development for peer-reviewed publication. Gain experience with updates to DNPAO’s interactive, web-based data portal that displays Division surveillance
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are important in this role? The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates
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the master's degree has been awarded Solid background in mathematics and physics is a requirement Experience in scientific programming (e.g., Matlab, Python) is requirement Experience in statistical analysis