25 Computer Science Fellowship positions at Lawrence Berkeley National Laboratory in Ireland-United-Kingdom
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an opening for a Computational Biology Postdoctoral Fellow in Health Sciences. In this exciting role, you will work on computational analysis, data integration and machine learning among other methods directed
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Berkeley Lab’s (LBNL ) Biological Systems and Engineering (BSE ) Division has an opening for a Computational Biology Postdoctoral Fellow in Health Sciences. In this exciting role, you will work
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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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. 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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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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. (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