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to explore GNSS Reflectometry (GNSS R) as a novel, low cost, low power bistatic remote sensing technique optimized for nanosatellite platforms. GNSS R leverages signals of opportunity from existing
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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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and validated numerical models, to enable lightweight, reliable, cost-efficient, and sustainable novel design concepts. The PhD will also explore additively manufactured (AM) concepts with strong
Searches related to numerical optimization
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