Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- University of Groningen
- Vrije Universiteit Amsterdam (VU)
- Leiden University
- Utrecht University
- Wageningen University & Research
- University of Amsterdam (UvA)
- University of Twente (UT)
- Radboud University Medical Center (Radboudumc)
- Erasmus University Rotterdam
- European Space Agency
- Radboud University
- Maastricht University (UM)
- University of Twente
- University of Utrecht
- Erasmus Universiteit Rotterdam (EUR)
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- SRON
- Universiteit Leiden
- 10 more »
- « less
-
Field
-
Can technology learn to listen to how athletes feel, and not just to what the sensors measured? In the ASPIRE project, we develop knowledge for the new generation of sports tracking technology that
-
on text and image feature learning for news ecosystems, analysing the complex multidimensional feature space of visual information to support data-driven journalism. This includes experiments
-
to different diseases under abiotic stresses. This postdoc position offers the opportunity to learn the needs for keeping plant breeding innovative in the future, and to apply your research skills in the domain
-
the postdoc will explore familiarity with KEMs and their institutional embedding with policy makers. Needs and preferences for KEM utilization and envisioned learning trajectories within municipalities will be
-
For candidates For employers For members AcademicTransfer Jobs and employers Jobs Premium employers Academic employers Universities of Applied Sciences Career advice E-learning Career paths
-
, with a strong interest in the integration of geospatial Artificial Intelligence (AI) and machine learning. Are you enthusiastic about the chance to combine research in Remote Sensing and AI with teaching
-
models and agents: how to consolidate and transfer physical knowledge into learning systems for the real world. Physics engines and physics-informed neural networks are powerful, but the open problems
-
study climate, and an inspiring environment for education and research. Learn more about our codes of conduct We are located on one physical campus, in the heart of Amsterdam's Zuidas business district
-
across a range of application areas, including education and healthcare. As these systems are increasingly deployed in high-stakes environments, there is a growing need for machine learning models
-
on their expertise, are willing to search for answers. We advocate for an inclusive community and welcome employees with diverse backgrounds, cultures, and perspectives. If you want to learn more about working at