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modeling and environmental data analysis, such as Python, MATLAB, Fortran, C/C++, or comparable languages and tools. Ability to work with large datasets and to integrate these data with acoustics models
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outputs. Proficiency in scientific programming and computational tools commonly used in numerical modeling and environmental data analysis, such as Python, MATLAB, Fortran, C/C++, or comparable languages
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proficiency in finite-element implementation through at least one of FEniCS/FEniCSx or Abaqus user subroutines (UEL/UMAT) in Fortran, together with scientific programming in Python. Knowledge, Skills
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