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technology increases the grid’s exposure to cyber-attacks, which can compromise measurement signals, disrupt control commands, or induce model or data-driven instability. This project aims to develop a robust multi
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). Additional project costs will also be provided. Overview We are seeking a highly motivated PhD candidate with interests and skills in computational modelling and simulations, fluid dynamics, mechanical
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have developed a human ‘brain-on-a-chip’ model that faithfully recapitulates the neurovascular unit, where neurons interface with the vasculature in the brain. You will use CRISPR gene editing
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Productivity Index (RPI) using observed versus potential productivity modelled with machine learning (https://doi.org/10.1016/j.ecolind.2025.113208 ), this applied geospatial ecology project will study how
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of harvest using estimates of wood production constrained by UAV and Airborne laser scanning (LiDAR) surveys. Due to weather conditions, it is unsafe for several days to months after a cyclone or tropical
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difference and/or finite element coupled process models validated against laboratory data to understand the fundamental behaviour of EK-ISL under varying geological conditions, including heterogeneity, dual
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and the potential effects of this method of fishing on scallop stocks, other species and the wider ecosystem. Through analysis of existing data, aquarium and field-based experiments, and modelling
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developmental incompetence and importantly, fertilised mutant oocytes generate abnormal single-pronucleus zygotes, a phenotype we recently showed is likely conserved in human. Thus, our animal model provides
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cities, where benefits are unevenly distributed, and how design or management interventions could enhance resilience and equity. A key component of the research will be developing advanced spatial models
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) alter resistance mechanisms. Use high-throughput screening and biofilm models to identify conditions that reduce multidrug resistance (MDR). Build a systems-level understanding of how these mechanisms