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- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
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- Delft University of Technology (TU Delft); yesterday published
- European Space Agency
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- Max Planck Institute for Psycholinguistics; today published
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Excited to shape the future of hearing aids? Ready to combine your expertise in Signal Processing, Optimization and Machine learning with Perception and Intelligibility? Job description Good hearing
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speech, prosody, gesture, facial expression, and gaze. Virtual humans are now prevalent in social media, education, and healthcare. However, their non-verbal behaviour, especially gestures, still lags
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language, where meaning and coordination arise from the interplay between speech, prosody, gesture, facial expression, and gaze. Virtual humans are now prevalent in social media, education, and healthcare
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signal processing, with a strong emphasis on quantitative methods. The DAF Technology Lab is a university facility consisting of office space, three research cabins and two CAVE (Cave Automatic Virtual
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advanced computer vision, dedicated lighting systems, optical communication, and robust control and guidance algorithms. You will work on: Design and implement computer vision algorithms for accurate landing
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states, often next to material phases with charge order. On top of that, creating material atom by atom is a promising route to tailor the electronic structure and to realise artificial matter with exotic
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computer vision algorithms for accurate landing navigation. Develop control and guidance systems for precision landings on moving platforms. Create algorithms to decode optical communication signals. Conduct
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quantum computer and an intrinsically safe quantum internet. We are creating the quantum future, and we believe that quantum technology will be a game changer in many social and economic sectors – including
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technologies still need to be tackled at the scientific, application and capability levels to deliver the maximum value from satellite-derived EO assets for our climate, society and economy. The Φ-lab will
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manipulation, tactile sensing or haptic systems. Proficiency in programming (Python, C++, MATLAB, or similar). Experience with robotic platforms and hardware. Knowledge of machine learning and signal processing