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demonstrated proficiency in qualitative and/or multivariate quantitative research methods and analysis, have experience in supporting the management of a large research program, and have demonstrated an ability
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charge of the experimental part. The two teams will collaborate closely, and the candidate is expected to integrate their modelling work within the experimental tasks. For more information on the research
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metapopulation and/or individual based models Knowledge of Bayesian methods, including Approximate Bayesian Computation Experience with big data analysis and HPC environments Knowledge of additional programming
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to the principles of equity, diversity and inclusion. Desirable characteristics: Experience of handling large sets of samples from multiple collaborators. Experience with HPAEC-PAD, mass spectrometry and HPLC systems
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an opportunity to work with the Bureau of Meteorology, applying advanced analysis and programming skills to operational weather data for forecasting at various time scales. Key responsibilities include independent
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, mineralogical, geochemical and structural data) and methodologies, with applications to the mineral industry. Working in collaboration with researchers from Earth and Physical Sciences, Engineering, CSIRO
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and build a strong emerging research profile in Information Retrieval, Natural Language Processing and Large Language Models, with a focus on transformative applications in the healthcare domain. At UQ