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- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); yesterday published
- Delft University of Technology (TU Delft); Published 11 Nov ’25
- Delft University of Technology (TU Delft); Published today
- Delft University of Technology (TU Delft); Published yesterday
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- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Published 7 Nov ’25
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Field
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of this project is the holistic experience of urban mobility in the daily lives of individuals with physical and cognitive diversities. The point of departure is "people"—their routines and travel behaviours
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assess relevant climate change metrics or indicators for the above point; design AI pipelines that fuse EO data and climate scenarios/projections (e.g., CMIP, CORDEX, DestinE Digital Twin for Climate
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firms can collectively contribute to decentralized, sustainable energy systems? Are you curious about how digital platforms connect businesses with distributed energy resources to enable energy sharing
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data acquisition, and sensor integration (vibration, AE, thermal). Strong background in signal processing and machine learning (Python and/or MATLAB), with a track record in diagnostics/prognostics
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image processing and analysis method development. The position builds on the lab's track-record in the field of computational imaging techniques for super-resolution microscopy and image analysis
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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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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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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
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platforms and hardware. Knowledge of machine learning and signal processing techniques. Excellent written and verbal communication skills in English. Strong analytical and problem-solving abilities
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motivated to explore the qubits that power the quantum information processing machines of the future? Do you want to embed qubits in scalable systems and help bring quantum technology to real-world