31 parallel-processing-bioinformatics-"https:" 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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(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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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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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
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distributed-memory parallel applications. Experience with containers (Docker, Podman, Shifter or similar) and modern software practices such as Git, unit testing, CI/CD, and collaborative development
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algorithms to improve the performance of scientific applications Researching digital and post-digital computer architectures for science Developing and advancing extreme-scale scientific data management
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detection, with a strong emphasis on applications in experimental searches for new physics. This role is hosted in the Quantum Measurement Group (https://quantum-measurement.lbl.gov/ ), and supervised by PI
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-tuning and/or Retrieval-Augmented Generation (RAG) methods to augment LLMs with dedicated knowledge in transportation and electric grid domains. This involves designing methods to process input data and
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play a supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes! You will: Combine the in-process data, room