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. Budget utilization and fund balance report) Subject analysis and business insights: Support business insights and recommendations for income/cost optimization and financial strategy. Benchmarking & Best
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. Optimize hardware for efficiency, thermal performance, and reliability. Ensure compliance with relevant grid codes and safety standards. Mentor undergraduate and postgraduate students. Contribute to research
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to participate in project discussions especially related to project implementation details. Familiarity with green building technology, HVAC system study and optimization, sustainable building design, and building
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Engineer/Fellow, you will design, operate, and optimize the lab’s 5G infrastructure and support experimental studies that advance new 5G features and use cases. Key Responsibilities Operate and maintain
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Engineer/Fellow, you will design, operate, and optimize the lab’s 5G infrastructure and support experimental studies that advance new 5G features and use cases. Key Responsibilities Operate and maintain
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, automated optimization, and adaptive co-simulation and testing workflows for QKD systems and protocols. Translate research insights into tools, methodologies, and frameworks for quantum security testing and
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in tool maintenance, troubleshooting, and process optimization. The candidate will work closely with a multidisciplinary engineering team and contribute to the continuous improvement of E6NanoFab’s
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Scientist to conduct research and develop AI models leveraging deep learning and data analysis for carbon measurement, route optimization, and sustainable logistics, enabling improved carbon management and
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functionality, safety compliance, resource optimization, and fosters innovation through modernizing workflows and process enhancements. Collaborating closely with researchers, students, and faculty, you will play
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and optimization strategies for large-scale or streaming data. Develop parallelized and GPU-accelerated learning modules, ensuring scalability and performance efficiency. Build and maintain robust data