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- University of Twente (UT)
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- Delft University of Technology (TU Delft); Published 11 Nov ’25
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- Eindhoven University of Technology (TU/e); today published
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- University of Amsterdam (UvA); Published 21 Nov ’25
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you want to develop human-centred RL algorithms to shape
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complexity theory, fast matrix multiplication algorithms, the geometry and representation theory of tensors, asymptotic spectrum duality, and applications? The research group of Jeroen Zuiddam at University
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will develop novel and privacy-preserving algorithms that allow distributed devices (smartphones, wearables) to learn from new data streams over time (Continual Learning) while collaborating globally
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algorithms to ensure seamless, reliable, and secure wireless communication in challenging and dynamic environments. The key responsibilities for this positions are listed as the following: Develop protocols
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to contribute to the development of innovative EO solutions. We offer: a stimulating multinational, interdisciplinary and open work environment; access to high-performance computing infrastructure and
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of AI for the integration of multimodal healthcare data specifically incorporating patient preferences. This includes investigating new methods but also designing and benchmarking integration algorithms
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designing and benchmarking integration algorithms. The position is situated in the Intelligent Data Engineering Lab and will be supervised by Dr. Jan-Christoph Kalo and Prof. Paul Groth. What you will do
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research is developing structured, LLM-readable document representations that enhance accuracy, facilitate automation, and improve interoperability across different model types used within the organization
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. The position is embedded in the context of the RVO project “SLDbatt”, in collaboration with Dutch research organisations and ESS industry partners. The SLDbatt project aims to develop and deploy battery
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Join a cutting-edge project developing automated IR spectroscopy tools for solid sampling - ideal for those passionate about spectroscopy, hardware and data science. Job requirements This project