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, dynamic building simulations, experiments in climate chambers and field studies to evaluate the performance of developed control strategies. You will be involved in ongoing national and international
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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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research activities within POLIMA. The position is available starting 1 January 2026. The successful candidate will work on developing semi-analytical and numerical techniques to simulate electron-beam
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of very large data sets, data analysis, and simulations of X-ray scattering and spectroscopy signatures of dynamic processes in battery materials. The theoretical/ simulation efforts are supported by
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for society. Our aim at a startup company is well supported by DTU’s focus on technology for people. Salary and employment terms The appointment will be based on the collective agreement with the Danish
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and PhD degree certificates or equivalent (copy of original/official English translation). Complete list of publications. Publications most relevant to the position. Summary and documentation
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and reduction of very large data sets, data analysis, and simulations of X-ray scattering and spectroscopy signatures of dynamic processes in battery materials. The theoretical/ simulation efforts
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on understanding and controlling the structure of the casein micelle (CM), a key component in dairy systems, under various simulated processing conditions. The project will be caried out in close collaboration with
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. The overall goal of the project is to design a novel high temperature heat pump. You will be conducting Computational Fluid Dynamic (CFD) simulations and cycle analysis, which will be instrumental