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The Senior Cybersecurity Researcher leads complex security research projects, developing techniques for vulnerability assessment and providing solutions against cyber threats to critical infrastructure.

The Metallographer/Fractographer will perform metallography and fractography, conduct failure analysis, develop sample preparation techniques, and maintain documentation in a collaborative R&D environment.

Conduct research in power grid modeling and simulation, support complex research projects, collaborate with multidisciplinary teams, and present research findings.

The Microwave/RF Engineer will analyze and design advanced electromagnetic systems for national security, conduct research, and develop computational tools, contributing to various projects in multidisciplinary teams.

The Nonlinear Computational Analysis Engineer will analyze complex mechanical systems, perform multi-physics analyses, manage technical tasks, and contribute to high-priority national security projects at LLNL.

Lead system research on electrical power grid infrastructure, focusing on grid resilience and business development for the Cyber and Infrastructure Resilience program. Collaborate with various stakeholders in the electric power system modernization efforts.

The Data Science Engineer will develop and apply machine learning and data science algorithms for cybersecurity and power systems, designing solutions and collaborating with multidisciplinary teams to enhance critical infrastructure resilience.

As a Power Grid Dynamics Engineer Lead, you will lead research on electrical power grid infrastructure analysis and manage complex projects while collaborating with various partners in the field of grid resilience.

As a Senior Mechanical Engineering Analyst, you will perform in-depth engineering analysis using FEA, develop computational models, and guide design engineers for nuclear weapon system certification.

The ML Bioengineer will conduct research on next-generation clinical and genome language models, collaborating with experts to develop machine learning methodologies and analyze data while contributing to project milestones and documentation.