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-academic partners will train 15 DCs in cutting-edge methods, theory, and transferable skills to improve crisis preparedness using agent-based social simulation and complementary methods. The current
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non-academic partners that will train 15 DCs in cutting-edge methods, theory, and transferable skills to improve crisis preparedness using agent-based social simulation and complementary methods. The
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. Position Title: Agent‑Oriented Security R&D Engineer (Project‑based Employment) Number of Positions: 1 Salary Range: 200,000‑300,000 RMB per annum ## Position Orientation Candidates are expected to have
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to develop learning-based model predictive control (MPC) algorithms for multi-agent multirotor drone navigation around vessels in maritime environments. The role will focus on integrating multirotor
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of LLM-based agentic AI in insurance. Write and maintain technical documentation, presentations, and papers on AI agent design, evaluation, guardrails and trust mechanisms, helping to educate and raise
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of LLM-based agentic AI in insurance. Write and maintain technical documentation, presentations, and papers on AI agent design, evaluation, guardrails and trust mechanisms, helping to educate and raise
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and multi-agent systems capable of planning, reasoning, and executing blockchain-based tasks. Build integrations between AI agents and blockchain infrastructures (e.g., Ethereum-compatible networks
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, and integrate them into the PROMETHEUS multi-agent Agent interaction, explainability and uncertainty: Contribute to architectures that combine specialized AI components, knowledge-based reasoning and
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integration expertise, professional experience in software development. • Demonstrated experience in AI/ML or LLM-based applications. • Demonstrated portfolio of deployed AI agent solutions or
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experience with or strong interest in LLM-based coding agents, agent harnesses, and tool/terminal execution. Knowledge of RL training pipelines, dataset construction, or sandboxed execution environments