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•Background with relevant packages, (CREO/SOLIDWORKS, ANSYS/ABAQUS, MATLAB) •A driven, professional and self-dependent work attitude is essential •Experience of working within the industry will be an advantage
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with relevant packages, (CREO/SOLIDWORKS, ANSYS/ABAQUS, MATLAB) A driven, professional and self-dependent work attitude is essential Experience of working within the industry will be an advantage
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in numerical techniques used to solve ordinary and partial differential equations and be proficient with related commercial or open-source software tools (e.g., ANSYS, FEniCS, OpenFOAM or similar) and
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to the development of multiscale computational models for simulating crack propagation and establishing reliable methods to predict the residual strength of composite structures. The simulations, performed in Ansys
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Python), electronic circuits, and Machine Learning. The ideal candidate will have a working knowledge of key software tools such as CST Microwave Studio, Ansys HFSS, and MATLAB for system level simulations
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packages, (CREO/SOLIDWORKS, ANSYS/ABAQUS, MATLAB) •A driven, professional and self-dependent work attitude •Experience of working within industry will be an advantage •The ability to produce high-quality
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are essential. Strong skills in using ANSYS fluent, Python, Matlab or similar coding software are desirable. The studentship offers exciting research based in the Department of Architecture and Built Environment