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. Quantitative, computational, or mixed-method approaches are particularly encouraged, including but not limited to geospatial analysis, machine learning, predictive modelling, and causal inference techniques
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to study the time evolution of battery electrolytes and interphases. This project will involve developing multi-scale simulation methods, but technical aims related to mitigating electrolyte degradation and
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programme is designed to impart substantive knowledge about politics, and to train students in the techniques, including quantitative methods, necessary to recognize, design and implement cutting-edge
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multicellular human heart tissue constructs derived from induced pluripotent stem cells. As part of the PhD program, you will receive advanced training in biofabrication, microscopy, computer vision, and hydrogel
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of Chemistry. This position is intended to begin January 1, 2026. The aim of this project is to develop and apply computational methods for statistical learning on chemical reaction network (CRNs) structures
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generate new insights into the mechanisms, design methods, and reliability of rock anchors. The outcomes will directly support the cost-effective deployment of floating offshore wind and wave energy systems