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-atmosphere model. The objective is to accurately represent faba bean phenology, physiology, and yield response to environmental factors, especially drought conditions. Your Tasks and Responsibilities Data
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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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The Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position in crop modelling in climate adaptation and resilience, starting 01-12-2025 or as soon as possible
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The Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position in crop modelling in climate adaptation and resilience, starting 01-12-2025 or as soon as possible
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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