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PhD Scholarship - Novel methods to enhance the use of routinely collected linked data for the evaluation of government policies related to healthy ageing Job No.: 691415 Location: Frankston
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industry, government, and the community. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance . About UQ As part of the UQ community, you
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promotions process. About You Completion or near completion of a PhD in computer science, information visualisation, visual analytics, human-centred computing (HCI), spatial data science, or a closely related
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include, but are not limited to, GeoAI, cloud‑native GIS, digital twins, spatial data science, and urban analytics. The School’s undergraduate and postgraduate geospatial teaching programs are experiencing
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, electrophysiology and advanced imaging to better understand brain function and neurological disease. We are seeking candidates with a PhD in Neuroscience or a related field who bring strong hands-on expertise in
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at UNSW Medicine. The role of Post Doctoral Fellow reports to the co-leads of the Group and has no direct reports. Some key skills required: A PhD in a highly quantitative discipline, featuring advanced
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collection, data wrangling, big data analytics, and the application of artificial intelligence and machine learning techniques. The role is focused on data and analytics related to development applications
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as one PDF) 2. 2027 MQLF CV and Research Opportunity and Performance Evidence Form 3. Evidence of PhD conferral (if awarded) or submission date For general information about the Fellowship opportunity
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to perform in-depth and critical data analyses and, where relevant, data modelling. Ideal candidates will possess: Completion or near completion of a PhD in environmental chemistry, analytical chemistry
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preparedness and response. collaborate with the quantitative PhD student and broader team to co-develop integrative methods for combining qualitative and quantitative network data. The candidate will be based