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over different length-scales as well as linking simulations and experiments, perhaps you are our new PhD student. The aim is to predict the impact of external cyclic loads (during real-life loading
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work in an international, motivating, flexible, supportive, and friendly environment at a leading research and education institution in Europe. About the Multi-omics Network Analytics Group The Multi
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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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. More specifically, the PhD position will look towards connecting different advanced software tools (of multi-physics and data-based models) simulating the metal AM process & microstructure with
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based on strong competences on electrochemistry, atomic scale and multi-physics modelling, autonomous materials discovery, materials processing, and structural analyses. We also focus on educating
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, you will advance stress-aware biocatalysis by combining mechanistic enzymology with process scale engineering. A central focus will be on understanding and mitigating biocatalyst deactivation under
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. Responsibilities and qualifications Your overall focus will be to build a digital twin model of urban surroundings based on large-scale image data that can be used for analysing how urban design influence mobility
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-house facilities as well as synchrotron X-ray sources. By obtaining multi-scale (spatial resolution as well as time-resolution) information about the transformation dynamics in zinc-air electrodes and
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well as synchrotron X-ray sources. By obtaining multi-scale (spatial resolution as well as time-resolution) information about the transformation dynamics in zinc-air electrodes and follow quantitatively
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-linear hydraulic behaviours, which pose significant computational challenges for large-scale planning and operational optimization. By leveraging the inherent network structure, the project aims to develop