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AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic
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modelling is an advantage. Strong quantitative skills and interest in statistical modelling, or simulation approaches. Experience with R, STATA, Python or similar software. Ability to work independently and
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to improve the built environment with the help of a broad set of disciplines, including architectural design, urban planning, building technology, social sciences, process management, and geo
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traffic flow theory and simulation. You are a machine learning enthusiast (and realist). You love coding and have proven experience in e.g. Python, Matlab, JAVA, C#. You can present and communicate your
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—for the bundles of muons that reach the detectors, and apply them to data and simulations to constrain cosmic-ray composition and hadronic-interaction models. We support you with a rich international collaboration
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design and characterise reconstruction methods—both machine-learning-based and traditional—for the bundles of muons that reach the detectors, and apply them to data and simulations to constrain cosmic-ray
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data analysis techniques, including synchronisation, correlation analysis, feature extraction, and signal processing, will be employed to identify indicators of track and bridge condition. In parallel
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, Physics, Materials Science, or a related discipline. Strong background in condensed matter theory, electronic structure methods, many-body physics, and molecular simulations. Knowledge of magnetism and open
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10 Jul 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Civil engineering Engineering » Computer engineering Researcher Profile First
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, MATLAB, or similar. Experience with numerical modelling and simulation, preferably using finite element (FE) and/or multibody dynamics (MBD) approaches. Ability to collaborate effectively with academic