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quickly and functioning in a dynamic technological environment. Preferred Qualifications: Experience with parallel computing, GPU operation (CUDA Toolkit), multi-GPU training, and distributed
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networking, cybersecurity, database systems and information management, distributed computing, cloud computing, and IT infrastructure. Candidates should also be prepared to incorporate relevant AI concepts
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distributed computing environment. • Knowledge of business models, operating models, financial models, cost-benefit analysis, budgeting, and risk management. • Familiarity with information management
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• Intelligent robotics and autonomous machines • Human-robot interaction and collaboration • AI-driven sensing, perception, and control • Multi-agent and distributed robotic systems • Embodied
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machines • Human-robot interaction and collaboration • AI-driven sensing, perception, and control • Multi-agent and distributed robotic systems • Embodied intelligence and cyber-physical systems
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, Mechatronics, and Autonomous Systems • Intelligent robotics and autonomous machines • Human-robot interaction and collaboration • AI-driven sensing, perception, and control • Multi-agent and distributed
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engineering applied to distributed energy technologies in facilities and/or community-scale energy applications; and applied research in these areas to improve environmental quality in residential and
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applied to distributed energy technologies in facilities and/or community-scale energy applications; and applied research in these areas to improve environmental quality in residential and commercial