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database of quantification models Supporting the development of predictive models for plastic waste generation in building projects We offer interesting and challenging tasks at the forefront of research in
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those developing tools to create molecular dynamics starting structures for such formulations. About the division and the department We are six research groups at the Division of Chemical Biology , within
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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