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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
- European Space Agency
- Delft University of Technology (TU Delft); 26 Sep ’25 published
- Delft University of Technology (TU Delft); Published yesterday
- Eindhoven University of Technology (TU/e)
- Eindhoven University of Technology (TU/e); Published 7 Nov ’25
- Eindhoven University of Technology (TU/e); Published yesterday
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Field
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Challenge: Control robotic dexterous hand during dynamic movements Change: Leverage high-resolution tactile sensors to handle contacts Impact: Autonomous grasping and manipulation Job description
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skeletal muscle models using patient-derived stem cells; Conduct functional analyses (mass, contractility, fatigue, resistance) under various therapeutic treatments; Integrate and analyze sensor-based
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representation of real-world marine structures and their corrosion processes. By integrating comprehensive sensor measurements, experimental data on corrosion, and advanced predictive modelling (including physics
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our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors
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structures in collaboration with local partners; · Leading baseline (Before) and follow-up (After) monitoring campaigns using: o Wave and sediment sensors, o LIDAR and acoustic mapping, o
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completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation
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such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting
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sensors in composites. Strong mathematical background and experience with numerical methods for structural analysis. Proficiency in programming (e.g., MATLAB, Python). You have obtained your PhD degree in
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-qualified biosensors for detecting molecular biosignatures during planetary exploration missions. The LMCOOL system uses integrated photonic circuits with asymmetric Mach-Zehnder Interferometer (aMZI) sensors
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motivated individual with the following competencies and skills: Proficiency in electrical design, multi-model sensor technology, and experimental analysis. Strong communication skills and a genuine interest