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reinforcement learning using degraded human feedbacks. Develop distributed localization approaches for multi-agent systems. Investigate the suitability of various sensors for robot navigation in human-sense
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scalable system frameworks capable of real-time data processing, distributed decision-making, and seamless integration with operational infrastructures. Design and deploy robust, secure interfaces
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Engineering, Computer Science, Applied Mathematics or equivalent. Strong background in machine learning, convex optimization, or distributed systems. Prior experience in federated learning, edge computing
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tokamak geometry on turbulent regimes and power-load distribution in double-null configurations Build-up a comprehensive database based on these simulations and analyze data Job Requirements: PhD degree in
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Fellow in Autonomous Systems and Control to design and implement efficient, performance‑guaranteed distributed control approaches, leveraging cutting‑edge learning algorithms and AI strategies
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IDMxS is seeking a candidate for a new position, Head of Research Translation - Principal Research Fellow, Outreach & Partnerships, to provide leadership for IDMxS’ broader translational and