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, computer science, and statistics The objective of this PhD project is to develop machine learning algorithms that perform efficiently and coherently across both classical and quantum computing platforms. The PhD
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quantum memories exhibit long coherence times and high-fidelity local control, photons remain the most practical carriers for communication. The transduction step that maps quantum states from physical
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computer science or a related field, with an interest in semantic technologies (ontologies, semantic querying) and information extraction. It is important to have strong programming skills, to prototype
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power electronics to enhance the reuse and recycling of components, enabling a more circular life cycle. The work will contribute to a new paradigm in the development of power electronics that incorporate
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-intensive challenges that require coordinated advances from both data-science and electronics research. Wind turbines, especially prototype units—generate massive volumes of heterogeneous, high-frequency
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for this PhD project consist of combining empirical studies in healthcare environments, such as observations and interviews, with prototype design and development. The project will develop new knowledge on how
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their understanding of the project’s problem, the angle they want to take, and the expected challenges, as well as ideas to overcome them (max 6 slides). The slides can include both images and text and will serve as a
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of the project’s problem, the angle they want to take, and the expected challenges, as well as ideas to overcome them (max 6 slides). The slides can include both images and text and will serve as a starting point