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staff member who can engage in research on system control and mathematical sciences such as control theory, dynamical systems theory, and/or optimization. The successful applicant will be responsible
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or control engineering such as analysis and control design of dynamical systems, cyber-physical systems, networked control, multi-agent systems, model order reduction, optimal control, robust control, data
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that support large-scale AI model training and inference (Network for AI), networks optimized by AI (AI for Network), and the realization of AI-native network architectures. AI and communication technologies
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on), machine learning, optimization, functional analyses Related Keywords: linear algebra, mathematical statistics, graph theory, manifold theory, other mathematical science domains 3.The successful applicant
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research from the perspective of "maintaining and developing diversity in both theoretical and practical aspects," typified by language, policy, and optimization. Work-related reasons: The candidate is
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Systems Research Interests - Model Predictive Control / Vehicle Control / Obstacle Avoidance / Optimization / Mobile Robot / Object Tracking https://researchmap.jp/read0211872 [Work content and job