Sort by
Refine Your Search
-
Listed
-
Employer
- University of Amsterdam (UvA)
- Wageningen University & Research
- Utrecht University
- Leiden University
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- European Space Agency
- NIOZ Royal Netherlands Institute for Sea Research
- University of Twente
- Amsterdam UMC
- Erasmus MC (University Medical Center Rotterdam)
- Erasmus University Rotterdam
- Radboud University
- University of Twente (UT)
- 4 more »
- « less
-
Field
-
in data integration, model design, and large-scale training by combining multi-modal scientific data, knowledge graphs, physics-aware machine learning, and GPU/HPC computing to develop transparent and
-
for a research environment where scholars can utilize state-of-the-art Large Language Models (LLMs) to interrogate their data with open infrastructure, ensuring that the future of SSH research remains
-
Interaction with a design and data-oriented perspective. Experience in research in the domain of affective interaction design Background in large-scale data engineering Personal or professional experience
-
22 Mar 2026 Job Information Organisation/Company Wageningen University & Research Research Field Geography » Cartography Geography » Human geography Researcher Profile Recognised Researcher (R2
-
: Compiling and analyzing large erosion data sets (thermochronology, cosmogenic nuclides, suspended sediment, etc.); Statistical modelling of data to analyze drivers and make local and/or global predictions
-
of the future, including: the use of faster processors being pushed by CubeSat technology; new requirements for cybers ecurity driven by actual threats; ever-higher data streams and volumes downlinked from
-
21 Mar 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Civil engineering Researcher Profile Recognised Researcher (R2) Application
-
on large meteorological datasets (from sources such as MSWEP, ERA5 and KNMI) that build on experimental measurements. As a postdoctoral researcher in this project you will: - Develop simulation
-
now Are you interested in reimagining the future of digital education beyond the dominance of Big Tech and AI? With this Postdoctoral position, you will join the research team of the NWO Vidi project
-
experience with proteomic or lipidomic analysis is required. Experience with data-analysis with R is required; You are highly motivated, creative and willing to work with human blood samples and large -omics