Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft); Delft
- NTNU - Norwegian University of Science and Technology
- Technical University of Denmark
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Eindhoven University of Technology (TU/e); Eindhoven
- National Research Council Canada
- University of Amsterdam (UvA); Amsterdam
- University of Exeter
- University of Florida
- University of Surrey
- Wageningen University & Research
- 2 more »
- « less
-
Field
-
Interested in working on a the future of optical inertial sensing for mechatronic vibration control? Join our team! Job description The CHiPS (Compact High-Precision Sensors) project aims
-
—such as microtubes—while also performing embedded functions like weight and color detection. The project will combine multi-material 3D printing, sensor integration, and adaptive control, aiming to push
-
responsibilities will include: Design and develop analog circuits for implementing ONNs for computing. Modeling, simulate and benchmark different computing tasks such as sensor data processing. Explore ONN
-
the Internet of Things (IoT), where networked sensors and actuators enable real-time adaptation to environmental changes. Consider a self-adaptive IoT network such as a smart home that autonomously manages
-
Significant experience in interacting with data available in buildings (e.g.: building automation systems (BAS), internet of things (IoT) sensors, control systems, etc.), to extract operational and energy data
-
transparency and trade secret claims of regulated actors? And explore legal arguments in support of algorithmic transparency and data access for public interest research? How does EU law balance transparency and
-
performance. Duties and responsibilities include the development of new abstractions and algorithms using computational sheaf theory. Such algorithms will be developed for understanding composite energy-driven
-
jointly embedded in the research groups of Dr. Sid Kumar (Mechanics, Materials, and Computing group) and Dr. Georgy Filonenko (Functional Polymers and Sensors group). Research group of Dr. Sid Kumar
-
Polymers and Sensors group). Research group of Dr. Georgy Filonenko: Functional Polymers and Sensors group: www.tudelft.nl/me/over/afdelingen/materials-science-and-engineering/research/functional-polymers
-
analog circuits for implementing ONNs for computing. Modeling, simulate and benchmark different computing tasks such as sensor data processing. Explore ONN implementation topology and its energy efficiency