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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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accepted all year round Details The advent of easily accessible high performance computers or computer clusters and numerical techniques such as finite element methods (FEM) facilitates the highly accurate
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for electrochemical cells and stacks FEM simulation to investigate seal compression Manufacture of seals on a CNC dispenser and subsequent characterization What you bring to the table Studies in the field of mechanical
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collaborators. The activities will include: • Electromagnetic modeling and numerical simulations (e.g., FDTD, FEM) • Design of metasurface architectures based on dielectric materials available at CRHEA
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first: integrating sustainability into microbiology labs. FEMS Microbiol Ecol. 17;100(7):fiae084. doi: 10.1093/femsec/fiae084. Kelly FJ (2023) How can we reduce biomedical research’s carbon footprint
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(e.g., FDTD, FEM, RCWA) Experience with data analysis tools such as Python or MATLAB Experience with 2D materials, polaritonic systems, or anisotropic optical media Experience with near-field optical
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/simulation/optimization) Build prototypes and research software (clean, reproducible, well-documented) Work with simulation pipelines (e.g., FEM/CFD/physics engines) and industrial data Collaborate with
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numerical simulation (FEM), data science Interest in additive manufacturing Programming experience in Matlab/Python Optional: Practical experience in the use of measurement technology/production machines
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collaborators. The activities will include: • Electromagnetic modeling and numerical simulations (e.g., FDTD, FEM) • Design of metasurface architectures based on dielectric materials available at CRHEA
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solid understanding of solid mechanics, continuum mechanics and material behaviour. Proficiency in programming (e.g., Python) and experience with numerical methods (e.g., FEM) are desirable. Familiarity