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Field
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are represented as nonlinear flexible beams. Key stages and tasks will include: Developing and validating a one-way coupling model (prescribed wave-induced flow causing stem deflection) using existing measurements
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development of special phase field and phase field crystal models coupling newly developed approaches with established approaches for simulating e.g. mechanical properties and the flow of fluids implementation
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this, there are further sub-objectives during the investigation to achieve this goal: Predict thermal warpage effects on a supersonic intake at different flight times, coupled to a numerical model for the downstream
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observed in Drosophila larvae. This interdisciplinary project combines biology, neuroscience, and computational modelling to understand how the larva’s body’s physical properties influence its motor control
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Fast Reactors (LFR) and Molten-Salt Reactors (MSR). Despite conceptual simplicity, NCLs are highly susceptible to instabilities, producing a wide and complex range of flow behaviours. Current numerical
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-on experience on SARRP and in vivo imaging modalities (CT, IVIS, ultrasound) Expertise in diet-induced fibrosis and surgical tumour models Image analysis, IHC, flow-cytometry Industrial experience with Xstrahl
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Almost all radar systems currently transmit from the same location. This kind of radar modality has been optimised for decades, however the challenge to detect very small and very fast objects
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– Modelling the Future Noise Environment – Trinity College Dublin (School of Engineering) You will build national-scale models that predict road, rail, air and emerging sources (UAVs, heat pumps, offshore wind
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is, however, the transportation and storage. Current methods rely on liquid compressed hydrogen, which requires high pressures or low temperatures. This project will computationally explore catalyst
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production environments, enabling predictive maintenance and data-driven optimization through centralized data platform architectures. Your research will focus on addressing current bottlenecks in data and