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the development of high-fidelity finite element models to investigate surface wave propagation in soft biological tissues, forming the foundation for subsequent statistical and machine learning
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of high-fidelity finite element models to investigate surface wave propagation in soft biological tissues, forming the foundation for subsequent statistical and machine learning frameworks that integrate
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spectrometer for elemental analysis - Statistical techniques used in source apportionment modelling, e.g., positive matrix factorization - Working with large data
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position as senior post-doctoral researcher. The advertised position will be part of the Frontiers for the Future Award, Research Ireland funded project entitled ‘’Constrained Bismuth / (Precious) Metal-free
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), the starry-night reed frog (Heterixalus alboguttatus), and zebrafish (Danio rerio). We aim to determine whether heat stress exposure affects mutation rates by activating noncoding genomic elements, thereby
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entitled ‘’Constrained Bismuth / (Precious) Metal-free Scaffolds for Ammonia Activation’’. The recruited senior postdoctoral researcher will be involved in the development of new concepts that combine
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collaboration with industry and other stakeholders. The research is focused on base metal deposits in sedimentary basins. The researcher will work in a dynamic team of raw materials researchers at UCD, although
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continents and collaboration with industry and other stakeholders. The research is focused on base metal deposits in sedimentary basins. This post-doctoral fellow will have access to the instrumentation in
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to apply advanced statistical techniques/tools for data visualisation and analysis (e.g., Reliability analysis, Factor Analysis, Mixed-effects model, ROC curve). Proven track record of managing data in
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continents and collaboration with industry and other stakeholders. The research is focused on base metal deposits in sedimentary basins. This post-doctoral fellow will have access to the instrumentation in