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transcriptomic data have been generated. Application of these technologies will enable the Research Fellow: To identify measurable synovial tissue cellular/molecular parameters that predict flare amongst RA
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modelling using Delt3D software. The role of the researcher is to perform physics-based modeling to build a numerical model that can predict storm surges in Singapore coastlines based on different weather
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This is a theoretical/computational postdoctoral position for the prediction and development of point defects in two-dimensional materials for applications in quantum technologies. Project
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of Earth’s core, and to use them to better understand and predict the south Atlantic Anomaly (SAA), a region of weak magnetic field intensity in which spacecraft are exposed to high energy radiation. You will
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This is a theoretical/computational postdoctoral position for the prediction and development of point defects in two-dimensional materials for applications in quantum technologies. Project
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-recapture for demography and social network structure; genome re-sequencing for pedigree information and genomic prediction; diagnostic testing for infection status and prevalence of bTB. The Research Fellow
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drivers, and how do these intersect to create wet and dry extremes? How can improved representation of SM variability at process scales enhance monitoring and prediction, benefitting SM-dependent
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relates to harnessing advanced mechanistic disease transmission models to improve prediction of clinical trial outcomes (e.g. doi: 10.1038/s41467-024-53065-z). Given the uncertainty associated with
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understanding the dynamics here is critical for predicting ocean energy transfer and biogeochemical processes. You will work with a cutting-edge observational dataset from a January 2025 expedition that used
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materials chemistry research focussed on understanding and predicting novel wide band gap oxides, and in examining defects processes in these materials. Computational work will be performed in collaboration