13 natural-language-processing-intern Postdoctoral positions at University of Basel in Switzerland
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research. Your position Design, implement, and evaluate large-language-model (LLM) pipelines for synthetic data (fine-tuning, retrieval-augmented generation [RAG], prompt engineering). Plan and analyze
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-collection costs while maintaining validity for marketing and opinion research. Design, implement, and evaluate large-language-model (LLM) pipelines for synthetic data (fine-tuning, retrieval-augmented
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skills and an openness to interdisciplinary collaboration. Excellent communication and teamwork skills in an interdisciplinary environment. Fluent English (spoken and written); knowledge of German is an
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challenge is thus to identify which non-native species may spread into natural ecosystems before their eradication becomes unfeasible. Mountain ecosystems remained comparatively natural so far and are thought
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employees, we are a dynamic and international research community that has spawned many fundamental discoveries in biology and medicine as well as several Nobel Laureates. Become part of our community
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We offer you The Yuping Li lab is a starting group, aiming to build an international team of dynamic and collaborative scientists. We committed to create an equal and inclusive work atmosphere and
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employees, we are a dynamic and international research community that has spawned many fundamental discoveries in biology and medicine as well as several Nobel Laureates. Become part of our community
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The Biozentrum of the University of Basel one of the world's leading life sciences institutes. With 32 groups and 500 employees, we are a dynamic and international research community that has
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groups and 500 employees, we are a dynamic and international research community that has spawned many fundamental discoveries in biology and medicine as well as several Nobel Laureates. Become part of our
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Your position The project aims to develop novel anti-biofilm compounds that can be used to treat biofilm-related infections caused by a range of bacterial pathogens. Based on structural data