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Field
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optimization of large language models (LLMs) and related architectures for generative tasks, continuous learning, indexing or retrieval, support of retrieval augmented generation over many data points from long
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, supported by Large Language Models (LLMs). Mandatory requirements: The candidate must hold a Ph.D. in Computer Science or a closely related field. Desirable requirements: Experience in Information Retrieval
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future. This post-doctoral position will investigate the use of knowledge graphs on automatically extracted metadata at a cross-disciplinary global scale. Using LLMs and traditional data engineering
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Petri Start: 1 September 2026 or as soon as possible thereafter The role Northeastern University's Dublin Innovation Institute (DII) wishes to appoint a Postdoctoral Research Associate to work on TOPO-LLM
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personality: Completed doctoral/PhD studies in psychology or other related fields. Experience in research projects on human-AI interaction, preferably in a therapeutic context. In-depth knowledge of AI, LLM
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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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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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of the following would be considered an asset: LLM-based clinical decision support, rare disease diagnosis, or diagnostic reasoning systems. Retrieval-augmented generation, agentic AI workflows, prompt engineering
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Provenance Index, and any images of content from which that data was derived Extract text from internal and external provenance documents with LLM-powered OCR/HTR Extract named entities from the text, and
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quality of human reasoning – specifically the capacity for genuine engagement with views that differ from one’s own (what the programme terms “doxastic plasticity”). The programme develops and deploys LLM