Sort by
Refine Your Search
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Utrecht University
- University of Twente (UT)
- University of Twente
- Wageningen University & Research
- Maastricht University (UM)
- University of Amsterdam (UvA)
- Leiden University
- European Space Agency
- Radboud University
- University of Groningen
- Erasmus University Rotterdam
- NIOZ Royal Netherlands Institute for Sea Research
- Princess Máxima Center for Pediatric Oncology
- Radboud University Medical Center (Radboudumc)
- Tilburg University
- University Medical Center Utrecht (UMC Utrecht)
- 8 more »
- « less
-
Field
-
. Your main responsibilities include: integrating multi-source datasets, including GIS data, and qualitative insights; developing reproducible spatial analytical and GeoAI pipelines to investigate health
-
challenges in vessel operations, human–automation interaction, port-call planning and logistics coordination. Addressing these challenges requires an integrated understanding of how autonomous vessel
-
(particularly computer vision), (2) machine learning for data analysis, (3) sensor technologies (e.g., electromagnetic sensors), (4) design and integration of mechanical/electrical devices; and an interest in
-
methodologies for battery diagnostics, state-of-health estimation, assessment, disassembly, reconfiguration, and integration. Investigate how traction grids can support high-power charging at construction-sites
-
integration. Investigate how traction grids can support high-power charging at construction-sites though optimal sizing of chargers and mobile battery storage systems based on the demand and through energy
-
uncertainty information and clear guidance for interpretation. Integrate available geological, hydrogeological and monitoring data from studied pilots in Zeeland. Collaborate with researchers and practice
-
its scientists in integrating open science in their research practice. The Faculty of CEG comprises 28 research groups in the following seven departments: Materials Mechanics Management & Design
-
for the analysis and integration of –omics data. The group has a strong track record in (integrative) computational omics analysis, algorithm development, machine learning and scientific data infrastructure
-
are still not exploited to their full potential. The CROPWAVES project aims to contribute to better future food security by improving global-scale crop and climate models through the integration of satellite
-
sensing, advanced image formation, and functional imaging methods. As a postdoctoral researcher, you will play a central role in this ambitious programme and act as a technological integrator across