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, while also developing custom Python-based simulation scripts. TU Delft will support your research with access to the DelftBlue supercomputer for large-scale and intensive modelling. In the second phase
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closely related field. Work experience with atmospheric satellite data (e.g. NO�, HCHO, aerosols, ozone) and/or chemistry transport models. Strong quantitative and programming skills (e.g. Python, Fortran
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Maastricht. You have scientific coding skills in Python, R and/or MATLAB to run treatment planning and analysis. Additional Information Benefits We will give you a temporary employment contract of 7 months
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for candidates who are familiar with V2G concepts, smart charging, and demand-side management in urban contexts. Programming experience (e.g., Python, MATLAB) for simulation control and data analysis. Excellent
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data acquisition, and sensor integration (vibration, AE, thermal). Strong background in signal processing and machine learning (Python and/or MATLAB), with a track record in diagnostics/prognostics
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Python, C# (preferably across design-related APIs), and using Git. Experience developing plugins or toolsets within parametric modeling platforms like Rhino/Grasshopper, or similar. Knowledge of digital
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, machine learning, and optimization. Experienced with models of hearing and perception. Experienced with C/C++ and/or Matlab/Python. Good communication skills for interaction with the other members
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problems is a bonus; Good programming skills in Python. Familiarity with PyTorch or Tensorflow is a bonus; High proficiency in spoken and written English; A team player who can communicate well also across
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good programming skills in either Matlab or Python and the willingness to program in both languages. Programming experience in C++ is benefical as is experience with CUDA/parallelization (OpenMP
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(e.g. CityGML) and, secondarily, in BIM (e.g. IFC). Have good programming skills, especially in Java, Python, and SQL. Have a good command of English (oral and written). Have an affinity with working in