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appreciated. As the successful candidate for this position, you will develop scientific machine learning algorithms, develop and run high-performance computer simulations, construct pipelines for model
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project. Once you have mastered the theory, you will build models, describing the natural phenomenon with mathematical precision. Beside deriving theory and collecting data of real-world epidemic spread
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. Combined, they reinforce each other and are the driving force behind the technology we all use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely
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-linear Harmonic Navier-Stokes solver. Boundary and in-domain conditions will be modified to model the effect of Metamaterials on instabilities. There is an opportunity to validate the coupled using Direct
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or FRP composites. FE modelling of FRP composites. Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate
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concepts from network science to model the huge number of real-time interactions between software components and data sets and to enable monitoring and control. AI-based algorithms will be developed
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are informative for Project 3. Results are also essential for Project 1 to validate numerical modelling frameworks. Finally, the findings on the unsteady flow phenomena, separation and 3D rotor-tip effects are fed
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Let’s make our interconnected critical infrastructure more resilient! NExTWORKx * is the strategic partnership between the Telecom and ICT service provider KPN and Delft University of Technology
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of forced convective turbulence over rough surfaces. The insights from this effort can then be used to improve climate models on for larger scales and more realistic systems. This PhD position is based in
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is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies