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of critical infrastructure in a rapidly changing security environment. The project is carried out with an accompanying PhD project in computational mechanics that will focus on numerical simulation of fluid
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will also work in close collaboration with a partner group specialized in 2D materials (Goswami group) and a theory group (Wimmer group) for numerical simulations. We welcome applications from motivated
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tradition in Lund, and are basis for many different areas of application. One of the rapidly growing research areas is dynamical systems for study of general principles of evolution processes. Other areas
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-specific errors. Some of the work will involve extending tools and concepts of circuit-based quantum error correction to fusion-based computation, using ZX calculus. The aim is to design, numerically
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, MATLAB, or similar. Experience with numerical modelling and simulation, preferably using finite element (FE) and/or multibody dynamics (MBD) approaches. Ability to collaborate effectively with academic
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, physics-based numerical models will be developed to simulate train–track–bridge dynamic interactions and their resulting structural responses. The health condition of railway tracks on bridges will then be
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skills in one or more scientific computing environments, such as Python, MATLAB, or similar. Experience with numerical modelling and simulation, preferably using finite element (FE) and/or multibody
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, will be employed to identify indicators of track and bridge condition. In parallel, physics-based numerical models will be developed to simulate train–track–bridge dynamic interactions and their
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of Science Technology and Medicine and Atelier Franck Boutté), you will couple advanced microclimatic and urban morphology simulations with epidemiological data to quantify heat-health benefits. As our PhD
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system perform well. This PhD project aims to answer this question. You will develop a unified mathematical theory and framework to study and explain how different reservoir systems work and how to design