13 parallel-processing-bioinformatics uni jobs at Lawrence Berkeley National Laboratory
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methodology Assist with code optimization and integration into Department of Energy (DOE's) applications running on the exascale computer systems with GPU accelerators We are looking for: PhD or equivalent
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, and manufacturing processes will focus on creating Work Instructions and Test Plans. Students with a CAD and design focus will work on 3D modeling, design, and creating manufacturing drawings. Training
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of world-class science. You will perform varied tasks essential day-to-day operation of the plant facilities systems, complete preventive maintenance, make small and complex equipment repairs, monitor and
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architectures for science Developing and advancing extreme-scale scientific data management, analysis, and visualization Developing and advancing next-generation machine learning, AI, and data science approaches
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worldwide. In this role, developers create and operate robust, mission-critical solutions that collect, process, store, and present network measurements and event data using open-source and cloud-native
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at the Computer Systems Engineer 3 or 4 (CSE3 or CSE4) depending on their level skills and experience. At Level 3, you will: Work with domain scientists to integrate HPC resources at NERSC into their workflows
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work and business processes, safeguarding the Laboratory's long-term "license to operate" under the 'GOCO' model and mitigating institutional risk to levels acceptable to the Department of Energy (DOE
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of world-class science. You will perform varied tasks essential day-to-day operation of the plant facilities systems, complete preventive maintenance, make small and complex equipment repairs, monitor and
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ensure due process and rapid resolution of workplace threats or misconduct. Ensure the ELR team provides effective advice and counsel to Laboratory management and HR field teams regarding management
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in identifying, evaluating, and developing cost-effective systems and procedures that meet user requirements. * Lead the design and implementation of data integration processes for the JGI's Data