Sort by
Refine Your Search
-
contribution of 17% superannuation applies. Fixed term, full-time position for 3 years. Scaled physical models provide powerful tools for multiscale 4D analysis of complex geological processes from the formation
-
agricultural research and innovation. Key Responsibilities: Conduct research in remote sensing, plant phenotyping, and computer vision, with a strong emphasis on multi-modal image processing. Develop and
-
specific methodology and tackle experimental challenges creatively. To be successful you will need: Strong computing skills in R software and demonstrated experience in quantitative analyses, and model
-
opportunity to contribute to cutting-edge research that has a real-world impact on the agricultural sector. The Analytics for the Australian Grain Industry (AAGI) Scholarship Program (AU node) is funded by
-
splitting and C–N coupling reactions. Work includes computational modeling of carbon-based materials, conducting simulations to understand reaction mechanisms, and developing and applying machine learning
-
ecosystems and ecosystem processes at different scales from targeted monitoring at the local level, through to surveillance monitoring at regional scales, through to continental scale observation and modelling
-
. This project will use state of the art MRI sequences to characterise the morphology and composition of human joints for a cohort of people enrolled in a social running program, and subsequently phenotype
-
knowledge and modelling the highest standards of professional behaviour. To be successful you will need: 2 years minimum experience with focus on specialist, emergency or high-level general practice