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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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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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work across clinical, laboratory, imaging, and/or modelling approaches. The ability to work independently while also contributing effectively to a collaborative research team. Strong analytical and
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integration and challenge-based learning towards transformative sustainability education. Your job The PhD candidate will investigate how higher education can prepare students to have meaningful contributions
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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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Apply now » Internal Research Fellow (PostDoc) in Theory of Deep Learning Job Requisition ID: 20829 Date Posted: 5 August 2026 Closing Date: 2 September 2026 23:59 CET/CEST Publication: External
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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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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
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plasticity is considered to be the foundation of brain adaptation and learning. Multiple signalling pathways have been identified that are underlying synaptic plasticity of single synapses, depending on