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spatial resolution. The generated meshes are expected to be tested in different FEM solvers and demonstrated in the structural analysis of existing and novel UAVs. To meet the goals proposed, the work
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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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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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. 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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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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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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, 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
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Method (FEM) Numerical simulation (e.g. Abaqus, UMAT) and coding experiences (Python, Fortran) are a must Additional Information Benefits We offer a position in an inspiring, multidisciplinary and
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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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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