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chemical environments and correlated disorder to thermodynamic stability and transport. The research will form a central part of CENSEMAT's simulation-guided materials programme and will be carried out in
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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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In this position, you will be part of the research environment within the Solid and Computational Mechanics research group at the Department of Materials and Production in Aalborg. The group works with
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The SDU Adaptive Intelligence Lab (ADIN Lab) (https://adinlab.github.io/ ) located under the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA
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the Niels Bohr Institute. It functions as a primary center for fundamental research including theoretical and computational astrophysics, particle astrophysics, gravitational physics, high energy particle
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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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, press releases, and elite social-media content. It also includes other forms of computational tools used in the project, such as generative agent-based simulations with LLM-powered agents and AI-chatbot
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be to develop and implement optimal control solutions for this process. You will contribute to the development of a mock-up dynamic model of the complete system, building on models developed by project
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Joint position between the Department of Computer Science, Faculty of Science, University of Copenhagen and the Faculty of Law, University of Copenhagen We are looking for a highly motivated postdoc