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environmental impacts of transportation infrastructure projects and drinking water supply. By integrating multi-fidelity geospatial and operational data with numerical modelling and data-driven approaches—such
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numerical and analytical models of stress distribution, crack initiation, and propagation. The project will develop a damage-tolerant design framework that relates fatigue life to a quantitative
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is seeking junior researcher or engineer with experience in the design and numerical simulation of integrated photonic devices and circuits. The candidate should have a solid background in photonics
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following areas: nano-mechanics/nanoelectromechancics, OR multi-physics modelling (numerical simulations, e.g. matlab or python, or analytical modeling), OR optomechanics, OR high frequency devices. You are
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science, data science, or a related quantitative field. Good scientific programming skills, particularly in Python, are required. Experience with atmospheric dynamics, numerical modelling, machine
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underground energy storage in hard crystalline rock, and his work since has run from in-situ experiments and their numerical validation to fracture mechanics modelling, risk assessment, and digital rock mass
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technologies. You should also have experience with experimental laboratory work or advanced data analysis and AI/ML techniques. An interest in numerical simulations, AI-driven process modelling, and cyber
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crystalline rock, and his work since has run from in-situ experiments and their numerical validation to fracture mechanics modelling, risk assessment, and digital rock mass characterisation. He leads the
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efficiency, performance, driving experience, and safety of road vehicles. Using numerical simulations, experiments, and system-level analysis, we study the interactions between airflow, heat transfer
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hydrodynamics component of the project through numerical modelling, wave-flume experiments and field measurements. The project offers a unique opportunity for a PhD candidate to develop computational and