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libraries like NCCL/RCCL and experience with high performance computing middleware is highly desirable. Optimizations of large parallel code bases and experience with GPU programming languages such as CUDA
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scientific computing, parallel storage and file system. Excellent communication and project management skills, and ability to navigate a complex academic environment and work collaboratively with individuals
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(OHAZ) is a research program within CAS-ERTH. OHAZ uses science, technology, and community engagement to understand, detect, and mitigate multi-hazards within the Pacific Northwest. OHAZ consists of over
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to determine eligibility for UTHA’s charity care program or public funding sources such as Medicaid, CHIP, County Indigent programs, or federal Marketplace plans. In parallel, the role supports insured patients
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Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning, parallel storage systems and scientific
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of this position is to develop a massively parallel version of a computer code called Commander, and apply this to archival data from Planck HFI, new data from Simons Observatory, and simulated data from LiteBIRD, a
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computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management and analysis solutions that aid in the storage, investigation and
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regimes, and accurate geometry- and biochemistry-based trajectory analyses. However, detailed molecular dynamics simulations are often too time-consuming to become the basis of computational measurements
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international collaborations. The department is responsible for courses in 14 of SLU's educational programs, e.g. the agronomy programs, the bachelor's program in biology and environmental science, the master's
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computing clusters. They will have experience in learning diverse data types generated by various platforms and technologies, including genomics, proteomics, imaging, and spatial transcriptomics data