76 advance-soil-structure-modelling PhD positions at Technical University of Denmark in Denmark
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research focus will include some of the following topics: Advanced sensor fusion and multimodal AI models for robotic intercropping. Self-supervised learning will generate multimodal agricultural pre-trained
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nanoparticles and reactions at the atomic-level by combining path-breaking advances in electron microscopy, microfabricated nanoreactors, nanoparticle synthesis and computational modelling. The radical new
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with advanced concepts and existing literature in relevant Agent-based Modeling, AI, and Computational Social Science. Become familiar with the latest literature on using advanced modelling tools
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structured approach to study and research The ability to work independently and make informed decisions An open and collaborative attitude Strong written and oral communication skills in English You must have
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components are in use. More specifically, the PhD position will look towards connecting different advanced software tools (of multi-physics and data-based models) simulating the metal AM process
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both technical insight into data modeling and a solid understanding of how real-world engineering data is generated, structured, and used. We are seeking motivated candidates with strong programming
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on developing machine learning algorithms to support the use of complex urban simulators in decision-making under uncertainty. This PhD project shifts the focus from optimality to relevance in urban land-use and
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will take advanced courses to build and deepen your skills, implement and evaluate algorithms, and develop your ability to write and present scientific work. We are a supportive team that will welcome
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on the evolution of internal metal structures obtained via Dark-Field X-ray Microscopy (a synchrotron-based imaging technique), combined with phase field modeling predictions of the structural evolution
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to contribute to fundamental advances in solid-state physics, while applying luminescence-based techniques to pressing questions in Earth system science. The positions are funded by the ERC Advanced