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(LBNL ) Environmental Genomics and Systems Biology (EGSB ) Division is looking for a DevOps Software Engineer to join the US Department of Energy's (DOE ) Systems Biology Knowledgebase (KBase ) team! In
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, influencing the direction of future HPC technologies to benefit the scientific community. Determine methods and procedures on new or complex assignments, and formally coordinate the activities of other
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instrumentation and Software development experience in a multidisciplinary environment. Desired skills/knowledge: Working knowledge of Machine Learning methods applied to scientific data and self-driving laboratory
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codes is preferred. Support scientific staff and develop software methods to effectively use HPC resources (e.g., Laurencium and NERSC) Apply visualization and analysis software packages to facilitate
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decision-making to improve the safety and reliability of transportation and grid simulations, with contributions to model development, software maintenance, and real-world deployment. You Will: Develop fine
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to support fundamental science. Support storage and I/O software on NERSC supercomputers, deploy new cutting-edge tools and frameworks for scalable scientific workflows. Provide expert I/O engineering
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to improve genome assembly methods and performance. Provide technical input to implement new sequence analysis pipelines. Produce high-quality documentation for newly developed software and analytical
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conferences. Engage in community knowledge-sharing (e.g. tutorials for the NERSC user base). What is Required: PhD awarded within the last five years in Physics, Computational Chemistry, Computational Science
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resources, and the DOE ESnet network. Develop and apply advanced workflow capabilities to improve performance, portability, and productivity of scientific software. Collaborate with computational and domain
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experimental data. Apply modern methods of machine learning towards predictive data analysis. Collaborate with other research teams and scientists. Publish original research in peer-reviewed journals and