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. Additional Required Qualifications Demonstrated knowledge and experience with machine learning and deep learning, power system data analytics Preferred Qualifications Distribution system modeling Distribution
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, and a competitive benefits package designed to support your career and well-being. Job Description The AI, Learning, and Intelligent Systems (ALIS) Group in the NLR Computational Science Center (CSC
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comprehensive hazard-based training programs for Laboratory personnel, translating regulatory directives into impactful learning experiences that support operational resilience and safety culture. Coordinate and
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to announce an exciting opportunity for a full-time Ph.D. intern with experience in machine learning, generative AI, foundation model, large language model, power system optimization, graphic neural network
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Response, threat hunting, forensics, malware analysis, preferably in critical infrastructure environments. Deep understanding of detection engineering and monitoring at enterprise/OT scale; ability
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. Your deep knowledge of statistical/machine learning, solar forecasting, time series modeling, and inverter analysis will be the driving force behind your success in this role. This full-time position
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have foundational digital skills and be able to expertly navigate a PC user interface, proficiently speak/write English. Deep knowledge of supply-chain management and federal procurement practices is