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Field
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with familiarity with foundation models (e.g. vision language models) and the ability to design and prototype innovative, reliable and reproducible solutions for complex 3D scene understanding tasks
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fault detection into better maintenance decisions and more reliable operations. You will work in an applied research environment with railway-sector partners. Your immediate leader will be the Head of
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healthcare and related technologies. The goal of this project is to find a reliable packaging technique for silicon chips with embedded microfluidic channels that does not involve the use of glue or elastomer
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accessibility, and dependency on corporate-controlled resources. The project aims to develop data-efficient and reliable training strategies for vision foundation models, reducing the need for large datasets and
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more reliable operations. You will work in an applied research environment with railway-sector partners. Your immediate leader will be the Head of Department. About the project TrainGate uses trackside
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sits at the intersection of AI Safety and Data-Centric AI. We aim to make large-scale ML more reliable, transparent, and aligned with human values. We are specifically interested in: Data-centric AI
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fundamental challenges in reliable, resilient, and sustainable connectivity. You will join an international research environment that values scientific excellence, creativity, meaningful collaborations, and
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, you will also extend the indicator beyond novelty toward quality assessment and validate the reliability, robustness, and fairness of LLM-based research indicators. The main use case for assessing
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results, numerical modelling, and analytical approaches to support the development of respective reliable and efficient design concepts. Led by Prof. Christoph Odenbreit, the ArcelorMittal Chair of Steel
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and validate them with experimental studies. The project will leverage KPN’s expertise to address real‑world constraints—including scalability, interoperability, reliability, and manageability—while