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- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); yesterday published
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- Delft University of Technology (TU Delft); 17 Oct ’25 published
- Delft University of Technology (TU Delft); Published yesterday
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Ready to shake things up in aerospace manufacturing? Join us in developing next-gen quality assurance methods for 3D-printed metal parts using vibrations, AI and physics-informed models, and help
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friction governs nonlinear vibration and damping in assembled structures. Job description Many high-performance structures, from spacecraft to offshore structures, rely on assembled components
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together with a postdoctoral fellow, who will focus on the effect of vibrations on thermal catalysis and on developing X-ray operando characterisation methods. Your work will contribute to a new research
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activation reactions using operando characterisation method. You will work in a team together with a postdoctoral fellow, who will focus on the effect of vibrations on thermal catalysis and on developing X-ray
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tire noise, sirens, and electric vehicle signals, enabling anticipation of unseen traffic in low-visibility scenarios. This additional sensing modality can improve driving safety, for instance by
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photonic integrated circuits. (PICs). Specifically, we will be looking at optical amplifiers, lasers and photodetectors, with a focus on noise and high-power behavior. Such compact models will propel
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for decision support You will develop explanation and evidence-generation methods that remain stable, informative, and decision-relevant even under privacy noise and limited training support. An understanding
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Join TU Delft and work together with NXP to build low-power AI accelerators for self-healing analog/RF calibration, fixing noise/offset. Co-design algorithms & hardware and validate on real silicon
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of these are highly localized. Localized corrosion under a coating is however typically difficult to detect visually. Electrochemical Noise (EN) can detect this at an early stage and is not limited by geometric
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established. We will take advantage of lattice vibrations, nuclear quantum, and electrochemical effects, and consequently reformulate classical diffusion theory to consider these game changers. As a result, we