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a non-English taught MSc program), a publication list (if applicable) and contact details of two referees. Since only three documents can be uploaded per application, please combine documents
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1 will focus on developing new graph-theoretic frameworks for analyzing graph learning models, such as Graph Neural Networks or Graph Transformers. PhD position 2 will focus on designing scalable
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& Development programmes to cross-disciplinary research programmes in any of our five research themes: Emerging Technologies & Societal Transformations; Resilience; Smart Industry; Learning; and Health
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sensor topologies Development of the MEMS fabrication processes Fabrication of the sensor chips in the MESA+ cleanroom Evaluation of the resulting performance Development of the required interface
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of microtechnology, materials science, (stem)cell biology, and additive manufacturing. You will thereby be trained to develop a wide skill set, which will include tissue engineering, 3D bioprinting, bioink development
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aims to develop data-efficient and reliable training strategies for vision foundation models, reducing the need for large datasets and improving robustness. The project will explore strategies related
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neuronal network function and how recovery can be enhanced, with the eventual goal to translate findings to the clinic. We are currently developing a stable, long-term, high-throughput experimental system
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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 Apply and develop advanced multimodal data tools and knowledge
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an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research
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program on the aging brain in complex cognitive contexts, focusing on risky decision-making and spatial navigation. The first project investigates how the aging brain influences risky decision-making and