31 parallel-processing-bioinformatics-"Multiple" positions at Lawrence Berkeley National Laboratory
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bioinformatics tools for processing data from multiple sequencing platforms (PacBio, Illumina, Oxford Nanopore). You will have the opportunity to work closely with sequencing teams, software engineers, biologists
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environment for NERSC's 11,000+ users. The SSG is responsible for NERSC's storage portfolio, including large scale high capacity parallel file systems and archival storage systems with an eye towards balancing
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other senior system administrators in areas of HPC technologies such as job schedulers, high-performance interconnects, parallel file systems, cybersecurity, cluster management, container orchestration
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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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-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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multiple occupied facilities, requiring sound judgment in implementing complex process control modifications with minimal supervision. Duties include planning and executing independent work, overseeing
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(deep learning, generative models, NLP, computer vision) and integrate these approaches with Lab-scale HPC and cloud environments. Develop and optimize pipelines that combine HPC with AI frameworks
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multiple citizenships (U.S. and another country), you may be required to renounce your non-U.S. citizenship before a DOE Q clearance will be processed/granted. Want to learn more about working at Berkeley
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teams by transforming conceptual ideas into complete 3D Computer-Aided Design (CAD) models and detailed 2D drawings. These models and drawings are critical to the manufacturing, fabrication, and
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implementing, optimizing, or integrating quantum libraries such as Itensor, CUDA-Q, Qiskit, or PennyLane. Experience debugging and profiling distributed-memory parallel applications. Knowledge of Git and modern