54 atmospheric-modeling Postdoctoral positions at Technical University of Denmark in Denmark
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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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experimental research-based technology integration, modeling, control, and data-driven analysis and toolset development. Here is the chance to work in a pleasant team atmosphere, dive into research and at
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reaction evolution mechanisms for magnesium-based binders, leveraging state-of-the-art experimentation and numerical modelling tools. This position is part of the prestigious Villum Synergy project
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Job Description Are you passionate about nutrition, food safety, and the transition to sustainable diets? Do you have a strong interest in modelling and want to contribute to the development
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right (offshore transport vs. onshore transport), in an experimental setting where the boundary conditions are fully known. The shortage of state-of-the-art models also means that the spreading
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writing scientific papers. The developed models will be tested on data from energy investment models, as well as transport infrastructure problems. We will be an academic team of three PhD students and four
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, through developing predictive models and new experimental methods and instrumentation, to design creative and cost effective CO2 trapping processes. The need is urgent, the task is challenging and a