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, you will develop innovative small area estimation methods to produce high-quality composite SDG indicators, combining survey, census, and non-traditional data sources such as web and satellite data
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the Excellence Cluster “Human Origins”, complementing and expanding on existing strengths, including new quantitative methods for exploring broader evolutionary time scales. Ideally, they will link with existing
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. Plan and lay out work assignments, determine accurate and efficient methods, and diagnose and resolve complications to maximize operational efficiency. Analyze control issues, identify root causes, and
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student, you will be trained in a scientific approach. In short, you will be trained to think critically and analytically, to solve problems independently using the right methods, and to develop
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carbon stock estimates within the project “A better check on soil carbon - a novel sampling and measurement approach for improved precision in soil carbon monitoring”. Important parts of the work
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, knowledge, and teamwork Able to implement procedures, methods, and activities developed by others Able to deal with multiple tasks or projects at one time KNOWLEDGE Knowledge of the types and grades
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Neutral Infrastructure (dfCO2), this role contributes to Program 4: Machine Learning for Carbon Performance (https://dfco2.org.au/program_4 ) that aims to advance the next‑generation AI methods to model
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collection tools; assists with building databases; and provides general administrative support. Has general awareness in research techniques or methods, regulatory policies and procedures, and relevant
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researchers with emerging tools and methods to conduct precision health research within a population health framework. Our faculty lead research projects in biostatistics, epidemiology and health services
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ovarian cancer. The laboratory has about 15 members that use cutting-edge methods, including spatial proteomics, spatial metabolomics, spatial transcriptomics, 3D organotypic cultures of human tissue, in