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is available from 1 October 2026 or later. You can submit your application via the link under 'how to apply'. Title Data Analytics and Machine Learning on Compressed Data Research area and project
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), Aarhus Vand (AV), SenArch (SA), KI Monitoring (KI), and the Kigali Collaborative Research Center (KCRC) unite to achieve this goal. CRISPER-IoT delivers an end-to-end solution that compresses data at its
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transportation system which include compression and liquefaction. The impurities will pose a safety and lifetime estimation risk to the system as they are very corrosive. There is a need to expand the knowledge
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systems and edge intelligence. Advanced Architectures & Edge AI: Familiarity with modern neural networks is required. Experience with edge-specific model compression—such as knowledge distillation
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Assistant Professor Position in Transient Electromagnetic Signal Processing, Modelling and Inversion
methodologies operating in both time-domain and Fourier-domain representations. * Research on spectral analysis, signal characterization, noise suppression, and data compression techniques for TEM systems