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                experience with advanced signal processing concepts as well as digital filters is advantageous. Your workplace You will be working at the Division of Electronics and Computer Engineering (ELDA), which conducts 
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                Generación de Conocimiento 2024 by the Spanish Ministry of Science, Innovation and Universities Introduction to the vacant position: The Biomedical Signal Processing and Interpretation (BIOSPIN) Group 
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                with expertise in digital signal processing methods, and machine learning methods for amplitude and phase noise characterization of optical frequency combs, recovery of dual-comb measurement signals and 
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                generation unit, imaging lenses, scanning system, and signal detection within a multi-beam framework. For this purpose, you will use commercial simulation software tools such as EOD and GPT, while also 
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                24 Oct 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Chemical engineering Engineering » Process engineering Researcher Profile 
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                continuously and precisely sense and process molecular signals among infectious bacteria colonies for diagnosis. The receiver development will consider novel design principles combining approaches in biosensors 
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                student will become part of a team at DTU with expertise in digital signal processing methods, and machine learning methods for amplitude and phase noise characterization of optical frequency combs 
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                provide insights into developing a receiver system that can continuously and precisely sense and process molecular signals among infectious bacteria colonies for diagnosis. The receiver development will 
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                Do you want to shape the future of digital nature monitoring? Do you have experience with LiDAR, AI, and ecology — and want to contribute to remote sensing research for biodiversity and ecosystems 
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                Do you want to shape the future of digital nature monitoring? Do you have experience with LiDAR, AI, and ecology—and want to contribute to remote sensing research for biodiversity and ecosystems