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Field
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Models for Multi-Modal Reasoning This project explores the integration of graph-based foundation models (e.g., knowledge graphs) with large language models (LLMs) to build AI systems capable of reasoning
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knock-in mouse models and contribute to the design and development of novel therapeutic strategies. The laboratory is equipped with excellent facilities and state-of-the-art equipment to perform basic
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preferred. Prior work experience in public health, epidemiology, and/or biomedical research is desirable. Experience in mixed models, and experience with longitudinal data analysis, functional data analysis
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spectrometry-based metabolomics data, in part based on generative AI models of chemical structures. The position is available starting July 2025, and will remain open until excellent fits are found.The
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Address Tucson, AZ USA Position Highlights The Lunar & Planetary Laboratory at the University of Arizona has an opening for a Postdoctoral Research Associate I in the field of modeling of planetary
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, instrumentation, modeling, and data science Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field(s) of materials science, physics, computational science, or a related field
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experiments. Develop reinforcement learning models to improve gate fidelity. Leverage CNM’s state-of-the-art facilities, including the nanofabrication cleanroom and the Quantum Matter and Device Lab’s dilution
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appointment, renewable for two additional years pending productivity, performance, and overall fit. The postdoctoral program enables associates to build a high caliber scholarly portfolio in social-structural
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multi-model large ensemble datasets under the Regional Aerosol Model Intercomparison Project (RAMIP), the Researcher will help quantify the role of aerosols—relative to greenhouse gases—in shaping
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skillsExpertise in Generative AI: Strong background in machine learning, with specific experience in Large Language Models (LLMs), and Vision-Language Models (VLMs)Excellent programming skills (Python is required