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within the following projects: 1. CO2plus: Phase behavior of CO2+X in CO2 storage. 2. CapSim: Optimizing carbon capture simulation through advanced modelling tools. Responsibilities and
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on electrochemistry, atomic scale and multi-physics modelling, autonomous materials discovery, materials processing, and structural analyses. We also focus on educating engineering students at all levels, ranging from
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and validation. You will be joining a strong team that works within the following domains: Dynamic turbine response modelling in the multi-body framework HAWC2 Aero-servo-hydro-elastic stability
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. The technologies include fuel cells, electrolysis, power-to-x, batteries, and carbon capture. The research is based on strong competences on electrochemistry, atomic scale and multi-physics modelling, autonomous
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techniques. Multi-scale characterization of the materials using e.g., SEM, RAMAN imaging, TEM, XRD, rheology, and multiscale mechanical testing. Lab-source and synchrotron 3D micro and nano-imaging. Close
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capture. The research is based on strong competences on electrochemistry, atomic scale and multi-physics modelling, autonomous materials discovery, materials processing, and structural analyses. We also
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phase change material storage (PCM), and large-scale battery energy storage systems (BESS). The vacancies are offered in the Power and Energy Systems division for a period of 3 years with a focus on
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modulators and other phase plates) Carry out nonlinear optics experiments, including third-harmonic generation and third-order spontaneous parametric down-conversion Work with custom fibers from fabrication
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create multi-fidelity predictive models that integrate data from quantum simulations and experiments, using techniques such as equivariant graph neural networks with tensor embeddings. We aim to train
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-disciplinary involving algorithmics, stochastic optimization, multi-criteria decision making, and data science. As part of the project, you will implement and test algorithms and further develop your skills in