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on the distribution grid with distributed energy resources (DERs) and modeling of cyber/network components Proficiency in using Python Preferred Qualifications Experience in using high performance computers, Linux
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biological, chemical, and catalytic research . The center has strong thrusts in polymer design and upcycling, separations, synthetic biology and bioconversion, analytical sciences, computational modeling, and
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thrusts in polymer design and upcycling, separations, synthetic biology and bioconversion, analytical sciences, computational modeling, and lignocellulosic chemistry and catalysis. Our group is conducting
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cybersecurity research tools, simulation frameworks, and automation scripts to support quantitative analysis of cyber-physical dynamics Apply and extend threat modeling methodologies (e.g., MITRE ATT&CK, ATT&CK
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) Develop and enhance NWDAF analytics functions for performance monitoring, prediction, anomaly detection, and optimization Build AI/ML models for network intelligence (forecasting, classification
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research on integrated energy systems with the goal of building resiliency and reducing risk across the energy sector. This is primarily accomplished through engaging with various partners to model and
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developers to refine system models, improve analysis techniques, and support operational decision-making Contribute towards technical documentation and the generation of research papers . Basic Qualifications
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images. Experience with modeling and simulation tools Knowledge of Industrial Control Systems Cybersecurity principles Programming in C/C++/Python/Go Knowledge of Industrial Control Systems protocols
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research on integrated energy systems with the goal of building resiliency and reducing risk across the energy sector. This is primarily accomplished through engaging with various partners to model and