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of Prof. Georg Madsen, with regular shorter research stays at Aarhus University. The project combines density functional theory (DFT), machine-learned force fields and atomistic simulations to uncover how
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. The work combines physics-based thermal design and process-level system simulation with high-fidelity computational fluid dynamics and fast reduced-order and machine-learning models, so that the final design
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involve a combination of experimental research, process simulation, reactor operation, and system-level optimization. Your profile We are looking for an ambitious and technically strong candidate who is
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marginalising others, and how these processes contribute to educational inequities. Combining perspectives from educational studies, anthropology, embodiment studies, and critical disability studies, the project
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nitrogen dynamics, and climate change mitigation potentials in agroecosystems. You will be contributing specifically to the area of regional simulation using process-based models and advanced statistical
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package III develops and tests remedies against the harmful effects of this rhetoric, using generative agent-based simulations and AI-chatbot-based dialogue experiments. The two postdocs advertised in
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and experiments with modelling of these experiments. As part of this, we have developed new algorithms and a completely new web-based platform – EasyNMR - for performing such modelling/simulations. With
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metagenomics from various field experiments, evaluation of microbially mediated regulation of soil carbon fractions, and development of a model that simulates the growth of key soil microbial communities related