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primarily experimental, complemented by numerical modeling, and will be carried out within the “Fiber Optics, Devices, and Nonlinear Effects” group at DTU Electro. As a PhD student, you will be part of a
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derived use cases by focusing on one or more of the following topics in their PhD project: Training and inference of ML models on GPU clusters. Method development for scalable and green AI. Use cases in
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both. Mathematical maturity and experience with scientific programming are essential. A background in probabilistic methods is highly desirable, at the level of master’s courses in probability
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, Sociology or related fields). The data collection is to take place in Denmark, so the PhD student must be fluent in Danish. Experience with qualitative methods is required, and related research experience
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)" and the Researcher will be positioned to the section for “Electric Power Systems and Microgrids”. The research areas will focus on developing models, methods, and tools to support the coordinated
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learning, you will help develop new methods for understanding complex failure mechanisms—an area where existing industrial knowledge remains limited. The project will be executed in three systematic phases
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of analytical and numerical techniques to provide better understanding of and control over the fundamental properties of light-matter interactions and in this way realizing new nanophotonic devices
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educational programs and service to society. We are working to develop new environmentally friendly and sustainable technologies, methods and solutions, and to disseminate this knowledge to society and future
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consist of survey data from social workers and school teachers as well as qualitative interviews with frontline professionals and families. The project should apply a mixed method approach, but emphasis can
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collaboration? If you possess strong competencies in health economics research methods, you might be the ideal candidate for our PhD position. Research environment The position is anchored at the Danish Center