19 information-security "https:" "https:" "https:" "https:" "https:" "University of Cambridge" uni jobs at Lawrence Berkeley National Laboratory
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National Laboratory is hiring a Construction Safety Specialist within the Environment, Health, and Safety division. Working under the Operations Support Team, this position provides occupational health and
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National Laboratory is hiring a Data Science Workflows Architect within the NERSC division. The National Energy Research Scientific Computing Center (NERSC) is seeking an engineer with experience in complex
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-Computing Luis W. Alvarez Postdoctoral Fellowship and Admiral Grace M. Hopper Postdoctoral Fellowship in Computing Sciences The Computing Sciences Area at Lawrence Berkeley National Laboratory is now
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National Laboratory is seeking an Electrical Authority Having Jurisdiction (E-AHJ) in the Environment, Health, & Safety (EHS) division. This site-wide authority interprets electrical codes, governs
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expertise, facilitate the cross pollination of skills, provide training, centralize toolsets and data management, as well as agilely shift resources to support projects and divisions across the Laboratory
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National Laboratory is hiring a Plant Maintenance Technician within the Facilities division. You will install, repair and maintain equipment and systems critical to Laboratory operations and the pursuit
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with geospatial information systems (GIS) Strong verbal and written communication skills Must adhere to all Berkeley Lab and EH&S safety policies Desired skills/knowledge: Ph.D. in engineering, science
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National Laboratory is hiring an Administrative Assistant - Procurement to support the Materials Sciences Division and Chemical Sciences Division through the Joint Division Office. This is a part-time career
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National Laboratory is hiring a Material Handler in the Facilities division. Reporting to the Shipping and Receiving Supervisor, this role independently handles receiving operations, including inspecting
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technical product ownership, ensuring that bioprocess data, workflows, and knowledge systems are structured for scalability, reproducibility, and future AI-driven innovation. Leading complex programs, you