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interest in the topic, even if their background does not match every qualification listed above. Stipend 2: Data-driven modeling and optimization for efficient and secure-by-design Power Electronics (Aalborg
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engineering, acoustics, machine learning or similar; Solid mathematical and analytical skills, including signal processing, optimization, machine learning or information theory; Experience in programming, e.g
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scientific disciplines and applications. The Biomaterial Microsystems group is a highly ambitious group, pursuing research on microfabrication of polymer and carbon structures and devices for biomedical
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at end-of-life. In this role, you will explore and optimize promising glass compositions suitable for use as power-electronics substrates, connecting composition and structure to relevant functional
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to a wide range of scientific disciplines and applications. The Biomaterial Microsystems group is a highly ambitious group, pursuing research on microfabrication of polymer and carbon structures and
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, mathematical engineering, acoustics, machine learning or similar; Solid mathematical and analytical skills, including signal processing, optimization, machine learning or information theory; Experience in
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thermodynamics by water and electrolytes (REMOTE)”, which aims to unravel the intricate relationships between fluid structures, molecular interactions, and macroscopic properties, deepen the fundamental
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is therefore of both theoretical and practical importance. Your work tasks This PhD project aims to develop structure-aware inference methods for modeling quantum transducers as open quantum systems
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framework offering optimal inspection and maintenance decision support. Explore additively manufactured structural concepts, including performance trade-offs for lightweight, fatigue- and corrosion-resistant
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on holistic understanding from regional net-zero. The PhD project is part of the Regional Energy, Carbon and Land Management initiative, focusing on optimizing energy infrastructure, land use and carbon flows