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-based and UV-curable inks. Implement FEM simulations linking chemistry, processing, and performance. Integrate experimental data from the experimental PhD’s for model validation. Collaborate with
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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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of the following: electronic packaging, heterogeneous integration, thermal management, reliability, multi-physics and multiscale simulation. Demonstrated publication record in high-quality
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and in the MAKEWAVES project. In both projects, experiments were conducted in very large flumes at HR Wallingford (UK) using a pneumatic tsunami simulator that is globally unique in its capacity
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applicant will have: A PhD in Materials Science, Applied Physics, Electrical Engineering, Chemistry or a closely related discipline. Strong background in modeling and simulation of thermal/energy systems
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closely related discipline. Strong background in modeling and simulation of thermal/energy systems, preferably including PV/T or hybrid solar systems. Hands-on experience with thin-film deposition
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groups. The theoretical methods include stochastic modelling, MD simulation, and Bayesian inference; the position will also include joint collaborative projects with other group members and our
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theoretically, in tight collaboration with experimental groups. The theoretical methods include stochastic modelling, MD simulation, and Bayesian inference; the position will also include joint collaborative
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, hydrodynamic data, infrastructure data, etc.) will be used in combination with already existing tools for maritime traffic simulation (e.g., OpenTNSim, which is being developed at TU Delft), energy consumption
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, etc.) will be used in combination with already existing tools for maritime traffic simulation (e.g., OpenTNSim, which is being developed at TU Delft), energy consumption estimates, and emission