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fibre-optic sensing technologies and structural health monitoring Skills in data processing and numerical tools such as MATLAB or Python A high level of motivation, intellectual curiosity, and the ability
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in machine learning and artificial intelligence Experience with numerical analysis and scientific computing Knowledge of power systems and renewable energy technologies Experience in power system
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monitoring will be based on real time data streaming from the machine numerical control. The project will cover all the aspects related to the implementation and automation of the tool life cycle management
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further. You will research and realize numerical techniques that can be used in micromagnetic problems.
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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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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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, the state, corporation, and the international order. BHL also participates in numerous interdisciplinary cross-CBS activities. In line with this concern, the PhD should demonstrate a capacity to bridge
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Copenhagen. As the birthplace of Hans Christian Andersen, Denmark’s famous fairy tale author, the city is home to a vibrant and creative population that hosts numerous festivals and markets throughout the year
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challenges and decision-making under uncertainty. Ability to translate conceptual models to their mathematical formulation and to test them with numerical and simulation experiments. Excellent communication in
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activities Curious mind-set with a strong interest in ice flow and climate physics and numerical modelling Good language skills in oral and written English