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- Delft University of Technology (TU Delft)
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- Delft University of Technology (TU Delft); yesterday published
- Delft University of Technology (TU Delft); Published yesterday
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- Delft University of Technology (TU Delft); 17 Oct ’25 published
- Delft University of Technology (TU Delft); 3 Oct ’25 published
- Delft University of Technology (TU Delft); Published today
- Delft University of Technology (TU Delft); today published
- Eindhoven University of Technology (TU/e); Published today
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- University of Amsterdam (UvA); yesterday published
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this research? The PhD will involve a lot of complex optical measurements with advanced custom-built microscopy, handling protein samples, surface chemistry and working with electric signals to trap and
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Eindhoven. The SPS group has a strong track record not only in signal processing for digital communication, but also for medical applications and for intelligent lighting systems. The impact of the work
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Delft and NXP Semiconductors as a PhD researcher developing next-generation testing solutions for analog and mixed-signal automotive chips. Job description The Computer Engineering (CE) section
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indicate your preferred position in your cover letter. The successful candidates will focus on developing and applying data science tools that integrate both customer-related data and Environmental, Social
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, linking climate data and material behaviour across multiple scales. Particular attention will be paid to how environmental factors accelerate damage, affect healing processes, and alter material properties
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
to anticipate and manage. This PhD will develop a machine learning module to detect early warning signals of positive tipping points from techno-economic data, helping policymakers design adaptive strategies
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
. This PhD will develop a machine learning module to detect early warning signals of positive tipping points from techno-economic data, helping policymakers design adaptive strategies for rapid and
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-like operation in GaN Devices. Silicon devices have both nMOS and pMOS to realize power efficient and seamless analog and digital signal conditioning, but is limited to a narrow operation temperature
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We seek you as a PhD candidate to investigate enabling CMOS-like operation in GaN Devices. Silicon devices have both nMOS and pMOS to realize power efficient and seamless analog and digital signal
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: vibration measurement and analysis, AI/machine learning or signal processing Programming experience (e.g. Python, MATLAB, or similar) A creative and analytical mindset with an eagerness to pioneer new methods