Sort by
Refine Your Search
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- King Abdullah University of Science and Technology
- Texas A&M AgriLife
- EPFL
- Umeå University
- Chalmers University of Technology
- Durham University
- ICN2
- Lulea University of Technology
- Luleå tekniska universitet
- Maastricht University (UM)
- National Aeronautics and Space Administration (NASA)
- Technical University of Munich
- University of Antwerp
- Carnegie Mellon University
- Cornell University
- Leiden University
- Luleå University of Technology
- National Energy Technology Laboratory (NETL)
- New York University
- University of Canterbury
- University of Central Florida
- University of Lincoln
- University of New Hampshire – Main Campus
- University of Vermont
- Wageningen University & Research
- 16 more »
- « less
-
Field
-
satisfactory outcome of this screening. TU Delft (Delft University of Technology) Working at TU Delft means contributing to solutions that really make a difference. For over 180 years, we have been training
-
discipline. A strong curiosity for human gait and neuromuscular control after stroke. Experience with wearable-sensor (IMU) data and human motion analysis. Solid programming skills (ideally, in Python
-
wearable-sensor (IMU) data and human motion analysis. Solid programming skills (ideally, in Python) for algorithm development, control design, and data analysis. Confidence and interest in testing and
-
situations frequently require different team compositions, communication structures, or varying degrees of centralization and decentralization. The project aims to enable adaptive coordination, especially in
-
make a difference in the world! Position Information Texas A&M AgriLife Research – Dallas Center (https://dallas.tamu.edu/ ) is seeking a highly motivated individual to join the Controlled Environment
-
at TU Delft means contributing to solutions that really make a difference. For over 180 years, we have been training engineers who make an impact worldwide in companies, government bodies, or as
-
, fostering transdisciplinary collaboration and impactful discoveries. Research Objectives: The project tests two central hypotheses: (1) that flood, droughts, and wildfires generate substantially different
-
skills according to the UTQ. In-depth knowledge of the fundamentals of Remote Sensing of the land surface with experience in data processing from relevant instruments and sensors. A strong team player
-
models for complex data, including temporal data. We are interested in both data-driven models as well as models built from synthetic data. Within privacy, we are interested in different types of privacy
-
National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 7 hours ago
encourages creative ideas and leadership. In the words of former Lab Director Brian Anderson , "our differences make us stronger and we’re united in fostering inclusivity in all aspects of our research