28 machine-learning "https:" "https:" "https:" "https:" "https:" uni jobs in Netherlands
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- Eindhoven University of Technology (TU/e)
- European Space Agency
- Leiden University
- University of Amsterdam (UvA)
- Wageningen University & Research
- Amsterdam UMC
- Delft University of Technology (TU Delft)
- Erasmus University Rotterdam
- NIOZ Royal Netherlands Institute for Sea Research
- Nature Careers
- Radboud University
- University Medical Center Utrecht (UMC Utrecht)
- University of Twente (UT)
- Vrije Universiteit Amsterdam (VU)
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Intelligence (AI) and machine learning. We seek a scholar with interests and expertise in advancing the science and applications of Remote Sensing, who is also enthusiastic about incorporating AI-based and data
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upon receipt. Where to apply Website https://www.academictransfer.com/en/jobs/357472/assistant-professor-in-computer… Requirements Additional Information Website for additional job details https
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31 Dec 2025 Job Information Organisation/Company Leiden University Research Field Computer science » Computer systems Computer science » Programming Researcher Profile Leading Researcher (R4
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6 Dec 2025 Job Information Organisation/Company University of Twente (UT) Research Field Computer science » Informatics Computer science » Programming Engineering » Computer engineering Engineering
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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
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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
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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
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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