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Field
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language models (LLMs) for educational purposes. Furthermore, the right candidate has a deep understanding of pedagogical research, with focus on how educational processes can be facilitated by AI. The role
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Ref.: 532431 Work type: Full-time Department: Centre for Advancement of Chinese Language Education and Research within the Faculty of Education (10088) Categories: Senior Research Staff & Post
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analysis and dose verification (depending on your experience). What you will do As a postdoctoral researcher, you will: Independently carry out experimental and computational research within
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or large language models Experience with GPU-based model training or cloud computing Knowledge of synthetic biology or regulatory sequence design Previous collaboration with experimental biologists
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-collected data for the purpose of generating new insights about psychological processes Publish high quality research in the fields of machine learning, computational linguistics, cognitive psychology, and/or
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scientific journals and conferences Your Profile: A doctoral degree in Physics, Materials Science, Computer Science, Data Science, or related fields Proven experience with large language models (LLMs), natural
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with highly motivated research staff as well as with top national and international partners, and access to state-of-the-art robot platforms. The group is highly international, and the working language
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academia or industry, or other activities. An inquisitivce mind-set with a strong interest in exploring new ways of experimentation Good language skills in English (the professional language of communication
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computer programming in R and Python *Formal training or experience applying quantitative and spatial methods to human-environment questions *Excellent academic writing and communication skills in English
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-doctoral associate for an NSF-funded project on the social, environmental and linguistic factors that affect human wayfinding. Working with the PI and co-PIs in computer science, psychology, applied math and