13 developer-"https:"-"https:"-"https:"-"U.S" positions at Lawrence Berkeley National Laboratory
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Berkeley National Laboratory (LBNL) Scientific Networking Division has an immediate opening for a Full Stack Software Engineer to join ESnet's Measurement and Analysis team. Remote work is an option
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acquisition, performance management, employee and labor relations, engagement, and talent development. Serving as the primary relationship manager for the client group, the HRSP partners closely with Lab
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year. Parental bonding leave (for both mothers and fathers) You will: Develop and lead hypothesis-driven research focused on autonomous thermochemical processing of complex mineral and melt systems, with
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National Laboratory is hiring an Electronic Structure Theory Postdoc within the Chemical Sciences division. This position provides a unique opportunity for development and application of state-of-art
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and Manipulation, and Inorganic facilities. The postdoc will create microarrays of metal-binding proteins and/or peptides and develop assays for metal binding. Based on genome-wide searches, candidate
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CHRO to advise on strategy. May provide advice and counsel to senior Laboratory management in the development and presentation of the Laboratory's positions and proposals in contract negotiations. Serve
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Developing QA documents (Work Instructions, Test Plans) Extracting images from mechanical models for documentation Contributing to project and engineering work process documentation What is Required: Full-time
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Analysis Department and will develop AI-driven autonomous systems for next-generation transportation and grid applications. The role focuses on advanced control, LLM-based agentic frameworks, and robust
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partners at NVIDIA and Dell to prepare high-impact workflows for 12,000+ NERSC users. What You Will Do: Contribute to one or more NESAP AI-based scientific workflows targeting NERSC HPC resources, edge
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will engage in the group's research and development (R&D) activities in high-performance computing (HPC) and contribute in setting research agendas, with a focus on sparse linear and tensor algebra