62 multiple-sequence-alignment positions at National Renewable Energy Laboratory NREL
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potential challenges. Regularly update management on the status of open requisitions, candidates, and hiring timelines, ensuring positions are filled promptly. Screen and align candidate profiles with
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, ensuring integration with multiple projects and broader laboratory initiatives. Extend and operationalize threat modeling methodologies (e.g., MITRE ATT&CK, ATT&CK for ICS) for large-scale experimental
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with distribution utilities, regulators, and government entities across the U.S. and internationally, and works across multiple Department of Energy offices. The team focuses on major challenges
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internationally, and works across multiple Department of Energy offices. The team focuses on major challenges including capacity expansion of the distribution system to enable load growth from buildings and
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building/using machine learning models based on protein sequence/structure data or modeling data Knowledge of python programming for software development and machine learning Experience developing python
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aligned strategies and set direction with command of advanced industry/knowledge, and business situation versatility. Solves a wide range of complex, multi-disciplinary problems, which must consider short
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standards. Training and Development: Ensure CMS and Protective Force personnel complete mandatory training (e.g., annual certifications, drills, refreshers). Supervise cross-team exercises to align security
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. Engage in multi-disciplinary teams to tackle issues and formulate strategies that are aligned with and advance the mission of NREL. Collaborate with the OGC team to deliver comprehensive legal support
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value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a
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quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential