178 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Netherlands
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- European Space Agency
- University of Twente
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- Wageningen University and Research Center
- University of Groningen; Published yesterday
- Eindhoven University of Technology (TU/e)
- KNAW
- Delft University of Technology (TU Delft)
- University of Amsterdam (UvA); Published yesterday
- Delft University of Technology (TU Delft); Published yesterday
- Erasmus University Rotterdam (EUR); Published today
- Radboud University Medical Center (Radboudumc); Published yesterday
- University of Groningen; Published today
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- Delft University of Technology (TU Delft); Published today
- Eindhoven University of Technology (TU/e); Published yesterday
- Erasmus University Rotterdam (EUR); Published 28 Nov ’25
- Leiden University
- Nature Careers
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Published 28 Nov ’25
- University of Amsterdam (UvA); Published 5 Dec ’25
- University of Amsterdam (UvA); Published today
- University of Twente (UT); Published today
- Vrije Universiteit Amsterdam (VU); Published 28 Nov ’25
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, and prototyping. Lead education with workshop tools and machines. Lead the academic aspects of operation and management of the engineering technical learning spaces in collaboration with the laboratory
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willingness to learn Dutch. We prefer that you are proficient in scientific computing (Python, Matlab, R, and UNIX), have strong data processing and collection, and are familiar with the basics of machine
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develop models that can read, extract and acquire knowledge from legacy data, coming both in the form of text and in the form of structured data (e.g. physical measurements) to predict characteristics
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Liefvoort. For questions about this particular research project, please contact Cécile de Morrée. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about
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intelligence (AI) and machine learning(ML). Duties This position combines knowledge of the Earth observation (EO) domain (EO instruments, EO data, EO algorithms, modelling, etc.) and AI/ML, as well as data
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layers across heterogeneous platforms. Ideally you would have familiarity with deploying or supporting AI and machine-learning workflows, including large models, large network analytics, or multimodal data
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Qualification (UTQ) portfolio. You can find a detailed project description in the attachment at the bottom of this vacancy. Would you like to learn more about what it’s like to pursue a PhD at Radboud University
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with world-changing potential. Our mission: to develop scalable prototypes of a quantum computer and an inherently safe quantum internet, based on the fundamental laws of quantum mechanics. To achieve
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value. Knowledge of computer systems and information/planning/coordination tools (such as esa-p, Microsoft Excel and Microsoft Project) is essential. Familiarity with modern dashboard and risk management
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lessons learned and best practices, to enable learning, ensure consistency, and improve quality across teams and projects) Behavioural competencies Education A master's degree in a relevant domain is