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. The mission of the lab is to follow a network-based approach to understand the pathogenesis of neurodegenerative diseases (mainly Parkinson's disease and secondarily Alzheimer's disease), with the ultimate aim
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
. Basic knowledge experience in state-of-the-art Generative AI application development, LLM model tuning, agentic AI, and model context protocol (MCP). Preferred Qualifications Interpersonal skills in
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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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systems that combine vision-language-action (VLA) modeling, robotic perception and interaction, and autonomous task execution. The Research Engineer will assist in system design, software implementation
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, federated modeling frameworks, multi-agent systems, and AI pipelines for dairy farming applications. Develop, co-lead, and contribute to competitive grant proposals (federal, state, foundation, and industry
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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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models or agentic AI), human-centered AI (including social computing, multi-modal processing or robotics), digital security (including biometrics or trustworthy identity technologies), natural
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research domains: Cancer theranostics: integrated diagnostic and therapeutic platforms (e.g., nanoparticle-based agents, radiolabeled constructs, immunotheranostics) Translational biomedical technologies
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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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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