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Simulation Environments, 3D objects, electronic navigation charts Full time, ongoing role based in Launceston About the opportunity The Centre for Maritime Simulations is looking for a Simulation Visual
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and responsibilities The Project Expert performing as Senior AI Solutions Developerwill: Develop and implement advanced AI models, including deep neural networks, transformers, LLM-based systems
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agents. What You'll Do Under close supervision of the principal investigator, other lab members, and senior scientists in collaborating labs who are familiar with the techniques required, the Research
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the accounting processes. Design, develop, and implement Explainable AI (XAI) systems, fuzzy logic models, and consensus‑based decision frameworks capable of processing large‑scale, heterogeneous financial data
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at the rank of Assistant Professor in Forest Ecology and Modeling Research. This 100% research appointment will be administratively based at the Blackland Research and Extension Center in Temple, Texas, with
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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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University of California, San Francisco | San Francisco, California | United States | about 2 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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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