Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Wageningen University & Research
- Utrecht University
- University of Amsterdam (UvA)
- Eindhoven University of Technology (TU/e)
- Leiden University
- Delft University of Technology (TU Delft); today published
- Erasmus University Rotterdam
- Erasmus University Rotterdam (EUR)
- European Space Agency
- Maastricht University (UM); 16 Oct ’25 published
- Radboud University
- Radboud University Medical Center (Radboudumc)
- Tilburg University
- University of Amsterdam (UvA); today published
- Wageningen University and Research Center
- 6 more »
- « less
-
Field
-
cities and WP leads, to evaluate impacts on grid stability, mobility performance, and energy use. To assess the impacts, you will lead the development of an integrated simulation framework to assess how
-
platform, contribute to accelerating the realisation of PEDs? How can standards (e.g. in terms of data models and APIs) support this process, e.g. by streamlining data retrieval, integration and usage? How
-
to the development of next-generation retrieval systems based on generative models. Join us! We are seeking an experienced candidate to conduct and help lead our research efforts in Generative Information Retrieval
-
expertise in organic chemistry, biocatalysis, lead finding of new biobased blocks, polymer chemistry, polymer physics, polymer engineering, biobased and biomedical materials, tissue engineering, and
-
the mechanisms behind diversity–disease relationships in grassland ecosystems. As a postdoc in DIGDEEP, you will take the lead on the fungal side of the project, designing and carrying out cutting-edge experiments
-
facilities: Lead the installation of new measurement equipment and setup new lab facilities and protocols appropriate for Life Marker Chip studies. Supervise student using these new facilities. Space
-
to visit the ESA website: https://www.esa.int/ Field(s) of activity/research for the traineeship This fellowship aims to explore the use of quantum computing for Earth observation (EO) applications