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, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to
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Large Language Models are known to hallucinate. Techniques such as In-Context Learning, Retrieval-Augmented Generation, Chain-of-Thought Prompting, and Self-Refinement can help reduce hallucinations, but
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for interviews). - Co-organize research meetings within the Centre for Language and Cognition and the Network of Interdisciplinary Translation Studies in the Netherlands and Belgium. - Contribute to the project’s
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Are you interested in cutting-edge research at the intersection of large language models, deep learning, and information retrieval? The Information Retrieval Lab (IRLab) at the University
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involving a network of over 20 core European partners. The candidate will contribute to the project’s aim of boosting soil health literacy and awareness in both academia and society, and advancing socio
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) and Biomotion, an innovative biofabrication company, and coordinate your research within a network of collaborators across the Utrecht AI-Lab initiative. You will work in an ambitious, motivated, and
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for interviews). Co-organize research meetings within the Centre for Language and Cognition and the Network of Interdisciplinary Translation Studies in the Netherlands and Belgium. Contribute to the project’s
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ecosystems. The parthenogenesis project is embedded in Marian Bemer’s group, which focuses on unravelling and comparing transcription factor networks in different species. Your qualities You have a PhD degree
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The power and energy systems community is increasingly interested in emerging computing technologies, including quantum computing, to address challenges in power system optimization, particularly in
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solutions to address global challenges; • the freedom and focus you need to conduct creative research while making an impact on ESA’s strategy; • a wide network of relationships and collaboration with