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methods using knowledge graphs, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) techniques; Design of explainable AI models ensuring the traceability and transparency of the generated
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(LLMs), domain-specific language models, high-performance computing (HPC) clusters, or cloud computing environments is highly desirable but not required. Familiarity with the capabilities and limitations
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evaluate large language models (LLMs) assisted methods for extracting, organising and assessing complex scientific information related to materials. The initial application will be phase diagrams and related
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education or similar complex organizational environments preferred. Other necessary skills: LLM Expertise: Deep understanding of large language model capabilities, limitations, and optimal interaction
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law school, Scalia Law offers students an opportunity to pursue a JD, JM, or an LLM. About the Position: The Admissions Office Coordinator provides administrative and operational assistance
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for the automatic detection of changes over time, semantic web technologies for the representation and enrichment of knowledge derived from this detection, and finally LLMs for querying the resulting knowledge bases
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language processing, large language models (LLMs), generative AI, retrieval-augmented generation (RAG), and/or agentic AI systems. Experience evaluating AI systems, including model performance, robustness
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here: https://itacademy.harvard.edu/ . Job Description Harvard Library and Harvard University IT are advancing the Reimagining Discovery initiative to transform how researchers, students, and the global
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Scalia Law School is a Top 50 law school. A relatively young law school, Scalia Law offers students an opportunity to pursue a JD, JM, or an LLM. About the Position: The Assistant Director of JD Admissions
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Institute for Science and Education (ORISE) participant, you will join a community of scientists and researchers in an effort to explore the use of Large Language Models (LLMs) to enhance medical decision