32 parallel-processing-bioinformatics-"https:" positions at Lawrence Berkeley National Laboratory
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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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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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of Advanced Quantum Testbed (AQT) and Quantum System Accelerator (QSA). This position will focus on design, calibration, and operation of mid-scale digital superconducting quantum processors. These processors
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-scale computing for critical applications for society and science. The successful applicant will need to have expertise with computer architecture and processor design and from the ground up, and have
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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
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data acquisition and data processing developments. Collaborate with and advise/train the ALS users to conduct state-of-the-art x-ray experiments. Serve as scientific lead during the ALS Upgrade
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wide range of numerical and machine learning (ML) computer algorithms as applied to reservoir engineering and geophysical imaging. This includes the simulation of thermal-hydro-mechanical-chemical (THMC
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solutions for high-performance computing (HPC) system management and large-scale monitoring, directly enabling the operation of NERSC's flagship systems, including the current Perlmutter supercomputer and the
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prepared to provide documentation during the clearance process. Required Application Materials: Curriculum Vitae Cover Letter - Briefly describing the candidate's background, previous research experience as
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accessible gate-based quantum computer. Our technology platform is based on superconducting quantum circuit processors, and we aim to generate the detailed experimental findings needed to resolve foundational