59 Computer Science research jobs at Lawrence Berkeley National Laboratory in Ireland-United-Kingdom in United States
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for the U.S. Department of Energy’s Office of Science. Working at Berkeley Lab has many rewards including a competitive compensation program, excellent health and welfare programs, a retirement program that is
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Berkeley Lab for the U.S. Department of Energy’s Office of Science. Working at Berkeley Lab has many rewards including a competitive compensation program, excellent health and welfare programs, a retirement
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Berkeley Lab for the U.S. Department of Energy’s Office of Science. Working at Berkeley Lab has many rewards including a competitive compensation program, excellent health and welfare programs, a retirement
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from rice fields and be responsible for the establishment of methodologies that will enable the genome engineering using RB-TnSeq to generate gene mutant libraries, sequencing, and computational analysis
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engineering using RB-TnSeq to generate gene mutant libraries, sequencing, and computational analysis of mutant libraries in plant-microbe experiments in a high-throughput manner. You will perform plant-microbe
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Lawrence Berkeley National Lab’s (LBNL ) Energy Storage & Distributed Resources Division has an opening for a Electrochemical Engineering Postdoctoral Fellow to join the team. In this exciting role
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Materials (NEMM ) program, aiming to advancing the fundamental science of non-equilibrium magnetic materials and phenomena in thin-film materials with strong spin-orbit interactions in the presence
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. Department of Energy’s Office of Science. Working at Berkeley Lab has many rewards including a competitive compensation program, excellent health and welfare programs, a retirement program that is second
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funding opportunities What is Required: Bachelor’s degree (or equivalent knowledge) in engineering, computer science, architecture, physics or a related field and a minimum of 8 years of relevant experience
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. (within the last 1-2 years) in Applied Mathematics, Computational Biophysics/Physics, Computer Science, Data Science or a related discipline. Experience developing numerical methods for solving inverse