54 data-"https:" "https:" "https:" "https:" "AALTO UNIVERSITY" positions at National Renewable Energy Laboratory NREL in United States
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assumptions. Provides oversight and review of payables and payroll information required for DOE and IRS reporting to ensure accuracy. Review and approve appropriate ledger entries and balance sheet
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candidates with comprehensive information about job postings and NREL as an employer. Manage candidate communications, including pre-interview briefings and post-interview debriefings. Maintain accurate and up
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by customers triggers Cyber input and intervention as needed, supports Cyber assessment by gathering and providing information Works with customers to maintain optimal performance and functioning
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instrumentation Programming experience in Python, particularly for data analysis and experimental automation . Job Application Submission Window The anticipated closing window for application submission is up to 30
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applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or
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++, or other languages, enabling automation, data-driven analysis, and modeling integration across projects Expert-level knowledge of ICS, OT, and energy sector systems, including protocols, architectures, and
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artifacts (Security Information and Event Management (SIEM) rules, use-cases, enrichment logic, automation scripts). Apply standard cybersecurity frameworks (MITRE ATT&CK / ICS ATT&CK, NIST IR lifecycle
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at handling sensitive and proprietary information, interacting with senior executives and their support staff, and coordinating complex and fluid calendar scheduling all while maintaining a high degree of
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researchers, policymakers, and industry leaders solve some of the world's most pressing energy challenges. This role focuses on turning complex scientific models and data into robust, user-friendly software
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electric distribution systems research, using power-flow modeling, optimization, machine-learning, neural networks, capacity modeling, forecasting techniques, statistical analysis, and data analysis among