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Field
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life cycle by: Reducing material usage during manufacture. Improving electrical system efficiency and power-to-weight ratios during operation. Enhancing recyclability and resource recovery at end of life
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tool for process design and laser-scanning strategies, the integration of simulation and experimental pulse-signal data to characterize lateral energy distribution, and the prediction of material removal
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2 PhD Positions in Computational Modelling of Biological Membranes and Adaptive Functional Materials
simulations and explore large parameter spaces. The project is particularly suited for candidates interested in statistical physics, computational physics, stochastic processes and theoretical condensed matter
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research exploring the processes controlling tropospheric composition (gases and particles) and their intersection with global change. Research makes extensive use of global modeling tools (GEOS-Chem and
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while maintaining computational efficiency through lower-fidelity simulation of non-critical regions, (ii) virtual sensing techniques for load and stress estimation from limited and optimally placed
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modeling, computer simulation, non-linear model analysis, interactive learning environments and decision-laboratory experiments. About the project/work tasks: Description of the INTEGRATOR project
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PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High Velocity Impact
11th October 2026 Languages English English English The Department of Structural Engineering has a vacancy for a PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High
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filters and observers, for real-time applications. Proficiency in MATLAB and Simulink for modelling, simulation, and validation using experimental or real-world data. Strong analytical, independent research
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processing to unlock fiber capacity and relevant higher layer protocols required to operate modern optical communication networks. Based in the purposely built FLUX building at the TU/e Campus, the ECO group
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simulation and multiscale modelling methodology to obtain novel and improved understanding of the behaviour of (bio)materials, and of complex (bio)chemical and physical processes that are of technological and