Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Delft University of Technology (TU Delft)
- Aalborg University
- Chalmers University of Technology
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Ghent University
- Maastricht University (UM)
- Naturalis
- University of North Carolina at Charlotte
- University of Twente (UT)
- AMOLF
- Aarhus University
- Boise State University
- ETH Zurich
- Eindhoven University of Technology (TU/e)
- Eli Lilly and Company
- Fraunhofer-Gesellschaft
- Helmholtz Association of German Research Centres
- Leibniz Institute for Horticultural Sciences
- Lulea University of Technology
- Luleå tekniska universitet
- National Energy Technology Laboratory (NETL)
- New York University
- Nicolaus Copernicus University
- TEGNOLOGY APS
- Technical University of Munich
- The Cyprus Institute
- Umeå University
- University of Amsterdam (UvA)
- University of Borås
- University of Potsdam •
- University of Texas at Arlington
- University of Twente
- University of Washington
- VIB
- 24 more »
- « less
-
Field
-
rate, and wearable sensor data. Develop and validate comfort prediction models targeting high prediction accuracy using a dynamic driving simulator and real-world operating conditions. Integrate thermal
-
within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and results into applications in close collaboration
-
the context of Boltzmann machines and neural networks, where stochastic binary units can efficiently perform computational tasks that naturally involve randomness, often more efficiently than deterministic
-
expand both actuation and sensing capacities with light. The project will create an artificial sensorimotor network with densely distributed actuators and sensors similar to the biological neuromasculature
-
sensor data. Develop and validate comfort prediction models targeting high prediction accuracy using a dynamic driving simulator and real-world operating conditions. Integrate thermal comfort models
-
objective of this postdoc project is to improve our knowledge of nutritional dynamics in forest ecosystems based on the balance between organic (dead biomass recycling) and mineral (chemical weathering
-
advanced experiments for investigating cryogenics two-phase flow. A second objective is to build cryogenic sensors for heat and flow measurements, in collaboration with the Von Karman Institute (VKI, Belgium
-
engineering, system integration, electrical engineering, machine elements, robotics, sensors, mechatronics, and advanced actuator design. As associate or full professor, you are expected to contribute
-
dedicated to the ESA-funded Rover Permittivity Sensor. The expected starting date is February 2025, with an initial contract limited to 2 years and a possible extension. About us: We are strongly dedicated
-
computing and cloud-based infrastructure. A state-of-the-art UW Fiber Lab for DAS data and Pacific Northwest Seismic Network specialists in multi-sensor networks An working environment with a commitment to