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, demonstrating mastery of digital engineering, model-based systems engineering (MBSE), enterprise data strategy, and acquisition modernization across the Nuclear Security Enterprise. • Apply mastery-level
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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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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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University of California, San Francisco | San Francisco, California | United States | about 4 hours ago
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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, biophysics, mathematics, or related field 8+ 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
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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
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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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discovery, or scientific knowledge extraction. Experience building or studying autonomous or semi-autonomous coding agents. Experience designing or implementing automated experimentation or simulation-based
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cues play a role analogous to conditioned stimuli: they are signals that, once learned, allow the agent to anticipate the consequences of its actions. Scientific Motivation: Learning-based navigation
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structures. Generative Design & Latent Space Optimisation: Leveraging generative models and agentic architectures to automate the discovery of high-performance structural configurations of medical devices