152 machine-learning-"https:"-"https:"-"https:"-"https:"-"RAEGE-Az" positions in Netherlands
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- Eindhoven University of Technology (TU/e); Published yesterday
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- University of Amsterdam (UvA); Published 5 Dec ’25
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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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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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researcher in neurocomputational models of adaptive learning is welcome to join our ERC-funded project. Together we investigate how people make approach–avoidance decisions under threat within a dynamic
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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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time to teaching in the context of the Sociology programme at Radboud University. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about working as
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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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, and Prof. Dr. Carolien van Ham. You will also have a limited teaching assignment of about 5%. At Radboud University, I can fully focus on expanding my expertise while learning from my peers and mentors
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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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FTE (4-5 days per week) and we require that you work on campus at least 2 days per week. On the other days, it is possible to work from home. We ensure you are provided with a notebook computer and