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Field
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to work within one of, or across, the four research themes: Learning with Structured & Geometric Models, Low Effective-dimensional Learning Models, Implicit Regularization, and Reinforcement Learning
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the intersection of energy transition, circular economy, and sustainable construction production. This position aims to advance innovative solutions that promote sustainability in the built environment, focusing
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an excellent publication record. Solid research experience in one or more of the following topics is expected: Graph neural networks Optimization algorithms Predicting structured output Self-supervised learning
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of morphing drone prototypes by combining structural optimization, lightweight design, and experimental testing. The research assistant will: Participate in CAD/CAE modeling and structural optimization of UAV
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manufacturing of next-generation stack components. In this project, we aim to develop, optimize, and test an innovative monolithic component that aims to substitute conventional porous transport layers (PTLs) and
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of life and satisfaction of its residents. https://www.enjoynordjylland.com/ Your work tasks The position is offered in relation to the EU-funded research program "STRONG UR, Strategies for optimized
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novel natural products with antibacterial activity. · Develop and optimize screening assays for natural product discovery, including bioassay-guided fractionation. · Conduct mechanistic and mode-of-action
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environment. OUR MISSION: Support Energy transition by providing innovative composite solutions or optimizing the usage of existing solutions in demanding Energy and Mobility applications. Our laboratory
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. Develop sensing principles, data acquisition, and measurement systems. Upscale technology and validate its integration into a variety of structures, including structures for mobility, energy, and civil
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, cold chain logistics, and sustainable packaging systems, addressing critical challenges in product protection, supply chain optimization, and distribution system efficiency. We seek a highly motivated