266 data "https:" "https:" "https:" "https:" "Dr" "UCL" Fellowship research jobs in Australia
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, e.g. surveys, literature reviews, data gathering and/or recording of results using appropriate research methods. Participate in and/or present at conferences and/or workshops relevant to the project as
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comparing model predictions of observed transient data Experience in software development with larger scientific codes; in particular, expertise in Fortran, C, Python, and/or build systems are of advantage As
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ecology and remote sensing research focused on vegetation structure, including coordinating field campaigns, processing and analysing LiDAR and UAV data, producing high-quality research outputs, securing
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support systems · assist on AI‑enabled clinical decision support projects, including examining how clinicians use AI in real clinical contexts · undertake qualitative and quantitative data
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biology and advanced quantitative data analysis. The role will involve the design and management of research databases, analysis of large and complex clinical and molecular datasets, coordination with
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meetings to discuss project objectives, methodology and outcomes. Conduct research experiments and data analysis, produce quality research outputs, and publish in high-quality outlets. Contribute
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innovations were once considered impossible until someone, just like you, joined us and took on the challenge. Visit CSIRO.au for more information. The opportunity CSIRO Early Research Career (CERC
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supervision of Honours and HDR students, and facilitate engagement opportunities for HDR supervisees. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic
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, representing UQ in professional forums, and building strong stakeholder networks. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance . About
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requirements of the role and how your skills and experience will ensure your success in the role. Further information is available by contacting Professor Karla Canuto on (07) 4232 1570 or via email to