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, take a 4-6 month external research stay, and grow a network across academia, system operators, and industry. Context and motivation The green energy transition is increasingly digital: it relies
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equipped with cutting-edge technology An inspiring and collaborative research environment that fosters innovation and growth The opportunity to work at the forefront of the scientific community in lignin
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-learn, PyTorch) or physics-informed neural networks for thermal systems is a plus. Excellent communication and collaboration skills across disciplines. We offer DTU is a leading technical university
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Job Description Are you looking for the ideal environment to realize your ambitions and make an impact? At DTU Wind and Energy Systems, you will join a world-leading research community that is
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learning architectures including generative models, particularly for sequence or structural data (e.g. transformers, graph neural networks) Proved experience in working independently and as part of a
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to test methods in real-world cybersecurity use cases Publish research in leading international journals and conferences Spend a mobility stay at TU/e in Eindhoven Participate in the research community
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working with live animals. Excellent skills for data handling and statistical analysis. Strong written and oral communication skills in English. Ability to work both independently and as a part of a team
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consortia. Are structured, proactive, and capable of handling multiple projects simultaneously. Communicate clearly and effectively in English (Danish skills are an advantage). Build strong relationships with
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collaboration. Research experience ranging from basic to applied research. Ability to attract external research funding. Visibility in the international scientific community. Significant experience in
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contribute to other educational activities Attract research funding with support from the department Disseminate your work at conferences and peer-reviewed journals Network with international research bodies