22 engineering-computation "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Lawrence Berkeley National Laboratory
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undergraduate student in good academic standing during the semester enrolled in an engineering program or similar technical program. Basic understanding of engineering principles Proficiency with Microsoft Office
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] Subject Areas: Applied Mathematics, Computational Research Appl Deadline: (posted 2026/02/24 05:00 AM UnitedKingdomTime, listed until 2026/08/25 04:59 AM UnitedKingdomTime) Position Description: Apply
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, and HPC systems and network technology. Research areas in Computing Sciences include but are not limited to: Developing scientific applications and software technologies for extreme-scale and energy
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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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Group in the Applied Mathematics and Computational Research Division at Lawrence Berkeley National Laboratory (LBNL) is seeking a Computational Career-Track Research Scientist. The successful candidate
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in the preparation of proposals for funding. Mentor graduate students and postdocs. We are looking for: PhD or equivalent in a Computing Science or Computer Engineering-related scientific discipline
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, water use, and carbon emissions. You'll work side by side with talented scientists and engineers from national laboratories, universities, and industry, all collaborating to rethink how critical materials
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Assistance Program A culture where you'll belong - we are invested in our teams! Parental bonding leave (for both mothers and fathers) Pet insurance You will: Operate, maintain, & make mechanical, non
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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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to identify and quantify energy, environment, and mobility implications from changes to the transportation system using interdisciplinary methods that combine engineering, economics, human behavior, technology