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Field
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in structured media • computational electromagnetic modelling Strong computational skills and experience with electromagnetic modelling methods including FDTD, FEM, and RCWA are essential as
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. Dual profiles, with experience in both civil engineering and computer engineering, are an added value. A strong proficiency in diverse research methodologies (ranging from numerical techniques like FEM
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Experience with simulation tools (e.g., COMSOL, FEM, MATLAB, or similar software) Knowledge of optimisation methods, data-driven modelling, or control strategies is advantageous Understanding
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, Applied Mathematics, Physics, Acoustics, Computational Science or a closely related discipline. Strong experience in numerical/computational modelling (e.g., FEM/multiphysics, wave propagation
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experience in Mechanical Engineering, Applied Mathematics, Physics, Acoustics, Computational Science or a closely related discipline. Strong experience in numerical/computational modelling (e.g., FEM
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implant loosening and wear/abrasion for anatomical and reverse TSR systems. This includes the use of interfacial BEM or FEM friction and wear models, as well as biological bone ingrowth models, to predict
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the physical principles of structural dynamics and (vibro-)acoustics and the related numerical modeling techniques, such as the Finite Element Method (FEM), as well as numerical optimization, manufacturing
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own house first: integrating sustainability into microbiology labs. FEMS Microbiology Ecology, 100(7), fiae084.Kelly FJ (2023) How can we reduce biomedical research’s carbon footprint?. PLOS Biology 21
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materials, e.g., concrete, UHPC and material characterisation Familiarity with Eurocodes - EN 1990, EN 1992, 1993, 1994 Experience with nonlinear FEM, preferably Abaqus, GMNIA Interest in combining laboratory
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, including FEM and structural analysis. Experience or interest in metamaterials, fracture mechanics, or advanced material behavior. Programming skills (e.g., Python, MATLAB, Julia,..), ideally with experience