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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
, multi-agent reasoning, and advanced machine-learning techniques to enable rapid, scalable analysis of large-scale neuroimaging datasets. Responsibilities for this position includes: * Developing deep
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
, multi-agent reasoning, and advanced machine-learning techniques to enable rapid, scalable analysis of large-scale neuroimaging datasets. Responsibilities for this position includes: * Developing deep
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machine unlearning, privacy-preserving techniques, and robust data curation. AI Safety : Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model
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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | 24 days ago
. You will conduct theoretical and computational research on dynamic game theory and multi-agent optimization for uncertain systems. By building on tools from distributed optimization, convex-monotone
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possibility of an extension dependent on continued funding. Job Description Job Responsibilities Design and build ClaimSpy's agent architecture: multi-LLM pipelines with tool-calling chains for
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expected to work as part of a multi-disciplinary team and contribute to the successful execution of R&D projects. Responsibilities include providing technical contributions as a software engineer for
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for science methodologies, frameworks, and platforms, including neuro-symbolic AI, causal inference, world models, federated learning, multi-agent reinforcement learning, and AI platforms for
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multi-agent LLM systems Efficiency: Streamlining large-scale model experimentation and training. Science of Deep Learning: Exploring mechanistic interpretability and understanding the fundamental drivers
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, County Extension Agent - Staff Chair, 870-352-3505, [email protected] All application materials must be uploaded to the University of Arkansas System Career Site https://uasys.wd5.myworkdayjobs.com/UASYS
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organisations. Deep understanding of Security Principles: least privilege, defence-in-depth, zero trust etc including Agentic / Agent Identity security Ability to embed identity as foundational controls aligned