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limited. We are offering a PhD scholarship for a student to develop ambitious new machine learning strategies for generating AI-ready data. You will work at the frontier of active learning and ML-guided
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the interfacial phenomena between water contaminants and adsorbent materials. As a member of the “Nano-Micro-Macro. Structure in Materials” research group, led by Prof. Joerg Jinschek, you will push the boundaries
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with academic institutions abroad. Your primary tasks will be to: Perform internationally relevant research in planning, guidance, navigation and control of AUVs operating in partly structured
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the microstructure from the AM process to the fatigue behavior. The position will involve active collaboration with international research groups working on the simulation of corrosion of metal AM, as well as close
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Job Description Are you driven by the idea of creating a more sustainable future through groundbreaking research? Do you want to work in a collaborative environment where your contributions can
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meteorological phenomena across difference scales, that impact wind energy, and vice versa. Our research is needed in the process of planning, designing, and operating wind energy installations. This can be at
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of research results in scientific journals and conferences. Qualifications: Good understanding of solid mechanics and preferably modeling of damage and/or fracture. Experience with experimental work and data
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Job Description Are you up for the challenge of joining a highly ambitious research group involved in a joint project with international academic and industrial partners towards developing scalable
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will be working in the Quantum and Laser Photonics Group at DTU Electro , which belongs to the Quantum and Nanophotonics Section . The research in our section focuses on leveraging fundamental light