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compositions of these materials with potential adsorption properties for simulants of toxic agents or catalytic properties of interest for degradation action, a molecular modeling approach based on density
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learning and LLM frameworks like LangChain and agent-based LLM frameworks, Retrieval Augmented Generation (RAG). Experience with fine-tuning, deploying, and evaluating Large Language Models. Experience with
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, merit-based evaluations, occurring every two to three years. See Table 26B Represented Librarian Series (https://www.ucop.edu/academic-personnel-programs/compensation/index.html ) for the salary range
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the context of agentic software engineering LLM testing and LLM-based testing Automated test generation and software testing Testing of AI-based systems Automated program repair and synthesis Metamorphic
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, or trustworthy AI agentic AI, multiagent systems, sequential decision making, and LLM-based reasoning embodied or physical AI, robotics, autonomous systems, or intelligent infrastructure systems strong programming
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developers of Jarvis . Anticipated Division of Time 80% Research: Build, train, and evaluate cutting-edge AI models and multi-agent systems for conservation genomics; perform feature engineering using
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for cooperative autonomous driving; Design large vision-language models for autonomous driving; Design generative diffusion & 3D/4D scene synthesis models to enable multiple agents to jointly reconstruct a scene
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and chemical/biological agent detectors in the aviation, ports and borders sectors). More information about Smiths Detection can be found at: https://www.smithsdetection.com/ . The Training Alongside
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discovery methods to enable a search for explanatory multi-level agent-based models that can be calibrated to - and validated against - such empirical phenomena. Funding Notes This is a self-funded research
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organization Knowledge of at least one empirical method (desirable) - Computable general equilibrium modeling and simulation or - Econometrics or - Agent-based modeling Excellent command of English High personal