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facilitated by preliminary results and should lead to ground-breaking results both in synthetic chemistry and in the development of new therapeutic agents. The project aims to develop novel rotaxanes
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develop a framework based on collaborative AI concept, e.g., Agentic AI or other collaborative Large Language Models (LLMs), that synthesizes actionable intelligence from distributed, heterogeneous data
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Japan and North America, to improve an existing model for the spread of Cyvirus cyprinidallo3 (also known as Cyprinid Herpes Virus or CyHV-3) as a biocontrol agent for common carp in Australia
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+ years of experience with agent-based models or physics-based models 5+ years of experience managing a scientific team of 5 or more people 2+ years of experience working with a product management team to
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integrated assessment modeling, energy system modeling, or agent-based modeling, who are eager to incorporate socio-political dynamics into their models; or 2.Computational social scientists with experience in
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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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PEDS-NEONATOLOGY Full Time 88156BR Job Summary The overall goal of the research project is to aid in the development and application of novel agents to alleviate the burden of congenital heart
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for Cybersecurity in Industry 5.0 and Critical Infrastructures: From Data Fusion to Intelligence Fusion”. The aim of the project is to develop a framework based on collaborative AI concept, e.g., Agentic AI or other
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and develop complex, custom Artificial Intelligence models and applications. This role incorporates Machine Learning, Deep Learning, Computer Vision, Large Language Models, and Agentic AI technologies
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description] Research on the development of cognitive models for nonverbal communication channels between AI agents, as well as duties related to the research project. * Assigned department Existing departments