Sort by
Refine Your Search
-
Listed
-
Employer
- European Space Agency
- Eindhoven University of Technology (TU/e)
- Leiden University
- University of Amsterdam (UvA)
- Wageningen University & Research
- Amsterdam UMC
- Delft University of Technology (TU Delft)
- Erasmus University Rotterdam
- Maastricht University (UM)
- NIOZ Royal Netherlands Institute for Sea Research
- Radboud University
- University Medical Center Utrecht (UMC Utrecht)
- University of Twente (UT)
- Vrije Universiteit Amsterdam (VU)
- 4 more »
- « less
-
Field
-
31 Dec 2025 Job Information Organisation/Company Leiden University Research Field Computer science » Computer systems Computer science » Programming Researcher Profile Leading Researcher (R4
-
6 Dec 2025 Job Information Organisation/Company University of Twente (UT) Research Field Computer science » Informatics Computer science » Programming Engineering » Computer engineering Engineering
-
sciences, such as programming, machine learning, and natural language processing. The Business Analytics Section is seeking a lecturer with expertise in Applied Artificial Intelligence, focusing
-
machine learning for fundamental physics. Want to know more about our organisation? Read more about working at the University of Amsterdam. If you feel the profile fits you, and you are interested in
-
integration and knowledge representation (e.g. FAIR data, semantic interoperability, ontologies, knowledge graphs); Machine learning and generative AI for health (e.g. multimodal patient modeling, predictive
-
an accurate overview of the state of the art (intersection of urban planning, VR experiments, digital twining, big data and machine learning) and recent developments in this field of study in academics and
-
perspectives. This creates a growing need for decision-support models grounded in effective, efficient and scalable algorithms, including advanced AI and machine learning approaches. In this position, you will
-
for applying to this role will be explored. Knowledge and background in one or more of the following domains is an asset: artificial intelligence and data science: understanding of machine learning and deep
-
applications engineering; database engineering, data science; AI and machine learning; GIS. Natural curiosity, creativity, and a can-do attitude are very important. Moreover, although you will be part of a wider
-
are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity for the internship You can choose between the following topics: 1) Topic 1: Machine Learning for recognition of planetary materials