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- European Space Agency
- Delft University of Technology (TU Delft)
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- Delft University of Technology (TU Delft); today published
- Delft University of Technology (TU Delft); yesterday published
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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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, grounded gestures: responsive to objects and to interlocutors, aligning speech and visual signals for richer, more natural interaction. In this project, you will carry out research as described in
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carries out technology research and development on flight vehicles, flight physics, aerodynamics, thermodynamics and fluidic engineering. The Section is also the focal point for the architecture design
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, methodologies and tools. It collaborates in standardisation and training activities. The Division is also the focal point for the ESA Mission Classification scheme, and you will be asked to provide specific
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); units such as onboard computers, mass memories, remote terminals and instrument control units*; digital and analogue signal processing electronics for payload/platform functions; front-end acquisition and