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- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); yesterday published
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- Delft University of Technology (TU Delft); 16 Oct ’25 published
- Delft University of Technology (TU Delft); Published today
- Delft University of Technology (TU Delft); Published yesterday
- Delft University of Technology (TU Delft); today published
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Moderate to advanced programming skills, ideally in Python Mastery of the English language, both spoken and written TU Delft (Delft University of Technology) Delft University of Technology is built on strong
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/or experience with developing AI tools in healthcare. Possess strong programming skills in Python, PyTorch or otherwise. Have a good command of English (spoken and written). Have good communication
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developing XR applications using Unity/Unreal game engine. Demonstrable experimental and analytical skills, including designing and conducting studies, programming (e.g., Python, C#). Advanced skills in both
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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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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