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that reduce raw data at the sensor level. You will develop AI and machine learning algorithms for anomaly detection, pattern recognition, and efficient data compression. To ensure practical usability
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. Photonics technologies, particularly optical spectroscopic sensors, enable non-destructive, rapid evaluation methods that are transforming the agrifood sector. At VUB B-PHOT, we are developing the next
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systems and signal processing Responsibilities: Design of optical setup Optical system analysis and simulation Material characterization Developing AI/ML algorithms Literature review and preparation
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while developing transferable skills in an international, interdisciplinary setting. The 15 open positions: DC1: Low-power IoT sensing at high frequency bands Host: IMDEA Networks Institute, Madrid, Spain
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data preprocessing, algorithm development, and optimization techniques. Excellent communication skills in English. Prior experience with environmental or photocatalytic systems is a plus. A fully funded
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novel methods for photorealistic scene reconstruction and understanding. The other position focuses on developing infrastructure-free, markerless motion capture systems using wearable sensors, exploring
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are actively engaged in the development of innovative methods and algorithms to be integrated in a digital twin architecture for (de) manufacturing systems. You contribute to organizing and performing
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sensing. You will develop adaptive algorithms that dynamically select the optimal radio configuration based on the specific requirements of each application. The radio platform supports a range of physical
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and signal processing Responsibilities: Design of optical setup Optical system analysis and simulation Material characterization Developing AI/ML algorithms Literature review and preparation of journal
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their results on advanced equipment. For further information, you may check: wwwen.uni.lu/snt/research/spacer and www.spacer.lu The candidate will lead the development of a V&V framework for AI-augmented