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the collaboration with external partners (including companies, non-profits, and other academics) that are providing the tasks that constitute the benchmark; running AI agents built on Large Language Models (LLMs
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Teaching Specialist-III (RTS-III) position is immediately available to conduct research in the area of mycobacterial host-pathogen interactions and COVID-19 pathogenesis studies using animal models under
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will be primarily based at Main Sterilization in the Health Sciences building on the main UW campus and will float as needed to the Magnuson Sterilization location, which is located our Sandpoint
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based on training and experience. This position will perform research on toxicological evaluation of aerosolized environmental agents to understand cellular interactions and exposure risk. This position
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: Apply Position Description Postdoctoral Associate – National Tutoring Observatory Cornell University Description The National Tutoring Observatory (NTO) is based in Cornell’s Ann S. Bowers College
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data-driven methods (optimisation, generative AI, agent-based modelling, machine learning). Our work provides decision support for policy makers, industry stakeholders, and researchers by delivering
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
distance of their assigned duty station. The Data-Driven EnviroLab (DDL) is an interdisciplinary and international research initiative based at UNC’s IE that is redefining how data is used to tackle
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
distance of their assigned duty station. The Data-Driven EnviroLab (DDL) is an interdisciplinary and international research initiative based at UNC’s IE that is redefining how data is used to tackle
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Python, PyTorch, and Linux/command line Familiarity with LLM in-context learning and prompt engineering Basic understanding of modern LLM models, ecosystems, and pipelines, including retrieval-augmented
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: The selected candidate will work within the scope of Activity 1 of the project, specifically on the personalization of AI assistants based on small generative language models (SLM) and on mechanisms