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language models, deep learning, and information retrieval? The Information Retrieval Lab (IRLab) at the University of Amsterdam is looking for a postdoc researcher to join our research team and contribute
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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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descriptors and neural network for the task comparing with available experimental results You will conduct research, communicate results via peer-review publication and at conferences You will be a proactive
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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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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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international community and a lot to offer to international employees. Because we expect you to work and live in the Netherlands our team of advisors on Dutch immigration procedures will help you with the visa
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advanced algorithms to the community in such a way that they can be used by the non-specialist which requires putting time and effort into interfacing, testing and support. TU Delft (Delft University
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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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at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine