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simulation, energy efficiency, and tool development. We offer interesting and challenging tasks at the forefront of research in a flexible work environment. The tasks include supporting 3D modelling in Rhino
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heavy-duty transport. This is an opportunity to measure, characterize, model and understand the formation of brake wear particles and ultimately reduce the health impact from urban transport. The research
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of surface sites makes theoretical understanding difficult. This project will develop and benchmark machine learning models to predict local electronic density of states (DOS) at alloy catalytic sites
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of numerical modelling (e.g. CFD, FEA, FSI, optimization, ML), but we are also involved in experiments and real-life monitoring to support our findings. Besides research, our division is actively involved in
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environments ensure safe operations Our activities are primarily related to the development and application of numerical modelling (e.g. CFD, FEA, FSI, optimization, ML), but we are also involved in experiments
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of Chemistry and Chemical Engineering department at Chalmers. We have a wide range of experience and work both experimentally and with modeling. We have a long tradition of working with both fundamental
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SHAPE THE FUTURE OF COMPLEX ENERGY-DIGITAL INFRASTRUCTURE SYSTEMS.This doctoral position at Chalmers University of Technology offers a unique opportunity to conduct advanced research on the modeling
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central role in streamlining and standardizing the design flow for quantum device fabrication. This includes implementing and improving design rule checks (DRC), optimizing and debugging code, and