Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
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
-
community by building, integrating, and maintaining Linux-based resources, high-performance computing cluster systems, and Kubernetes clusters. This role provides extensive expertise in High Performance
-
, supporting the operation and evolution of an advanced platform that integrates cloud-native software, on-premise hardware, and high-performance computing hosted in National Lab data centers. This role is
-
funding proposals. Supervise or mentor students, postdocs, and colleagues as appropriate. Perform all responsibilities with a high level of independence, professional judgment, and initiative. We
-
to the world. Join our team and YOU will 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! Why join
-
Research Scientific Computing Center (NERSC) is inviting applications for the position of Storage Systems Group (SSG) Lead. NERSC's mission is to accelerate scientific discovery through high performance
-
National Lab's (LBNL ) Applied Mathematics and Computational Research Division has an opening for a Career-Track Computational Research Scientist at the intersection of High-Energy Physics and Quantum
-
applications including high-throughput microscopy, materials growth for superconducting qubits and quantum materials. Initial projects will include hardware and software development for an AI-driven closed-loop
-
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
-
contributing to peer-reviewed journal articles and funding proposals. Experience working in high-performance computing environments, including on both CPU and GPU clusters. Experience in implementing, testing