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Field
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progression. This project addresses the challenge of studying early tumorigenesis in pancreatic cancer by developing advanced in vitro models based on human extracellular matrix (ECM), aiming to recreate
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), the third leading cause of cancer deaths, often arising from fatty liver disease. While IGRT shows promise in treating HCC, its use is limited by radiation-induced liver fibrosis (RILF). Using a mouse model
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to High-Fidelity Simulations – The project will use OpenFAST, FAST.Farm, and Digital Twin simulations for AI model validation. The student will have the opportunity to join a vibrant community and team
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and corrosion Developing a validated solvent degradation Process simulations of absorption-based CO2 capture with different process designs and industrial cases Combine the solvent degradation model
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affect ignition behaviour. You’ll use advanced tools such as chemical kinetic modelling, multi-dimensional CFD simulations, and collaborate closely with experimental researchers. You will receive
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challenges and decision-making under uncertainty. Ability to translate conceptual models to their mathematical formulation and to test them with numerical and simulation experiments. Excellent communication in
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tools (e.g., drones, 3D mapping) for high-resolution geological mapping and rock mass quality assessment. Develop and calibrate numerical models using field data and case studies to simulate various
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can be varied. Crucially, the models we derive will be validated by real-world measurements to ensure our simulation environments are realistic and scalable to more complex radar networks. This will
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treatment processes through advanced machine learning, validated against physics-based models and experimental data. 2. System Integration: Integrating the DTs into material and energy balance equations
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for the collection of data to develop and validate prognostic models for filter degradation. Integrated Drive Generator (IDG) Rig: Simulates the operation of an aircraft's IDG, used to investigate fault detection