32 learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions in Netherlands
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visit the ESA website: https://www.esa.int Field(s) of activity/research for the traineeship As a Luxembourgish National Graduate Trainee, you will have the opportunity to: support the Spaceship and
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have a master’s degree in computer science, data science, computational science, AI, or a closely related field, with excellent marks. You should have documented experience with machine learning, bias
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and decision-making. Working with real-world data from Alliander, you will publish at leading machine learning venues while building tools with tangible impact on the Dutch energy sector. The Dutch
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Are you fascinated by how curiosity shapes learning in the classroom? Would you like to investigate how children seek information, explore and learn in real-world educational settings? If so, then we
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primarily focus on computer vision and machine learning. You will develop and evaluate AI-driven visual speech recognition models and contribute to their integration into a smart-glasses prototype. The
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information systems. The work sits at the boundary of machine learning and quantum computation, addressing how quantum devices can remain robust and reliable when operating under real-world noise conditions
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inclusion succeeds, where disparities persist and how universities can create more equitable learning environments. Your job IThe Department of Developmental Psychology has a job opening for a PhD
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Eindhoven University of Technology (TU/e) | Eindhoven, Provincie Noord-Brabant | Netherlands | 26 days ago
programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process . An excellent technical infrastructure, and
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collaborative environment in which you have the freedom to work independently, while also contributing to a shared goal. You take a mastery-oriented approach to your own learning and development and are eager
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characterize subsurface structures, buried infrastructure, and material properties; · develop and apply AI and machine learning methods for signal processing, image analysis, data fusion, and prediction