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research group of Prof. Narly Golestani. Applicants should have a strong interest and track record of research expertise in the cognitive neuroscience of language and reading, including reading disorders
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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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research and scientific excellence. Ready to be part of our team? Welcome aboard! Your personal sphere of play: Your will hold a position as a Post Doc University Assistant in the field of French linguistics
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candidate will extensively explore and analyse the suitability and potential benefits of new-generation AI (in particular Large Language Models and Agentic AI systems) in these tasks. These investigations
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C2. Dutch language skills are not a prerequisite. Has the ability to independently carry out research and collaborate within a team. Can efficiently explore and adopt new subject matter. Additional
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
integration, modeling cancer vulnerabilities, designing tools for data interpretation and visualization, and/or training foundation models and large language models (LLMs) for diverse biomedical applications
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require good English skills as it is the working language in the project consortium. You are expected to collaborate with the wider community for a mutual exchange, as well as work towards ensuring
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planners on the value of discussing climate fiction in educational settings. You will be a specialist in English Literature with expertise in the linguistics and poetics of ecology and climate change
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aligned with the group's interests. Topics that are of particular interest include: Language model interpretability, particularly mechanistic interpretability methods or applications of interpretability in
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include autism spectrum disorder (ASD), ADHD, developmental delay, language disorder, intellectual disability, anxiety/mood disorders, and learning disabilities. Participation on a stepped-care