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Field
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applications involving image analysis, real-time monitoring, or complex process optimization. You have hands-on experience with model optimization techniques such as post-training quantization (PTQ
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28 Nov 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Philosophy » Ethics Philosophy » Philosophy of science Political sciences » Governance
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You will develop and validate advanced AI models that integrate medical imaging, multi-modal clinical and omics data, and explainable AI (XAI) for the prediction of hepatocellular carcinoma (HCC
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innovation come together. It focuses on imaging and image-guided interventions in areas such as oncology and cardiology. This strong collaboration enables a multidisciplinary approach, allowing research to be
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develop new design concepts. It’s an open field, with lots of opportunities for a creative researcher, who can keep an eye on the bigger picture. You will be working in close collaboration with the Photonic
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(GenIR), a new and rapidly evolving retrieval paradigm where generative models are used to directly generate document identifiers given a user query. This paradigm departs from traditional multi-stage
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). The role focuses on designing, validating, and operationalizing next-generation LLM solutions that enable ING to streamline core processes, strengthen compliance, and scale agent-based AI systems
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generate document identifiers given a user query. This paradigm departs from traditional multi-stage retrieval pipelines and instead integrates the indexing and retrieval process into a single, end-to-end
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organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and
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elaborate the prototype of the audit tool. Your duties and responsibilities include: The co-development and testing of the audit tool Social and economic analysis of the implementation of the Audit tool Your