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Field
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candidate will have recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically
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the application of computer vision and remote sensing techniques to enhance data-driven decision-making, adaptability, and safety within agriculture systems. AI Knowledge for Agriculture: Build LLM and NLP tools
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collaboration with Prof Yulan He (KCL computer science) and her NLP group. The post is central to the NAVIGATE research programme, which investigates how different modes of AI uncertainty expression affect the
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on explainability of NLP, multi-modal methods and evaluation of LLMs is desirable. Candidates are kindly requested to upload documents totaling no more than 10 pages; certificates, references and research papers
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: computational linguistics / NLP cognitive science / psycholinguistics language acquisition or related fields Strong Python skills are essential, and experience working with corpus data or computational models
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warehouses, or other healthcare databases. Experience developing and applying machine learning, deep learning, natural language processing (NLP), computer vision, or large language models (LLMs) for biomedical
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than following a fixed phase sequence, you are expected to make substantive contributions across the following six areas throughout the appointment: Trigger detection system. Design and implement an NLP
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
for protein science, medical AI, efficient learning, and potential applications in Embodied AI. The postdoctoral researcher will support and mentor graduate students working on NLP and AI4Science projects
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, or clinician-in-the-loop AI evaluation. Python tools for NLP/LLMs, such as Hugging Face, LangChain, LlamaIndex, spaCy, or similar frameworks. This position will be funded by the Canada Excellence Research Chair
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with a particular focus on AI for Science, Natural Language Processing (NLP), and AI for Operations. Our aim is to push the boundaries of computational science by integrating advanced AI methods with