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such as finite element analysis, computational fluid dynamics or tribology. Applicants with an interest in thin film lubrication, wear modelling, fluid-structure interaction and/or the applications on human
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finite element analysis Structures and construction material lab testing You will have gained this experience and expertise through engagement in practice, or through your substantial proven teaching and
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design practice. Experience and knowledge related to quantitative modeling of physical systems, such as finite-element techniques. Experience with very large research or industrial facilities. Programming
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at least one or more of the fields of medical image processing, computer graphics, continuum mechanics, the finite element method, machine learning, AI and Data Science. Additional skills in games engines
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. Analyse, categorise and document collected seismological, geological, tectonic and built environment data and model and map the data in GIS environment. Develop high-fidelity Finite Element (FE) models of
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material synthesis, processing, characterization, device fabrication process simulation for fabrication, and development of advanced materials and material systems. Development of finite element models
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software, and applying computational methods and analysis tools, including finite element analysis (FEA), to optimise designs. Providing leadership and supervision to engineering staff, ensuring research
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Engineering or a comparable subject Good programming skills e.g. in Python or Fortran are advantageous Initial experience in FEM (Finite Element Method) simulation tools e.g. ABAQUS or ANSYS Good analytical
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(PDEs). Our goal is to design finite-dimensional controllers that are not only straightforward to implement but also robust against real-world imperfections, including system disturbances, measurement
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) experience and demonstrated proficiency (SolidWorks preferred). Finite-element analysis (FEA) experience and demonstrated proficiency (e.g., Ansys or equivalent). Gas dynamical modeling expertise (e.g., using