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seeking a postdoctoral researcher with expertise in data management, workflow management, High Performance Computing (HPC), machine learning and Artificial Intelligence to enhance our capabilities in making
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from biobank studies (e.g., UK Biobank, China Kadoorie Biobank) and a familiarity with command-line environments, high-performance computing (HPC) environments and pipeline execution on compute clusters
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Your Job: In this position, you will work in an interdisciplinary team of experts in HPC, ML, and biomedicine. You will contribute your individual strengths while also developing in adjacent fields
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exceed 15% of gross income. Access to state-of-the-art facilities and resources, including group-owned HPC clusters with PB-scale storage. Opportunities for professional development and international
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-performance computing (HPC) environments and large-scale numerical codes for space plasmas; proficiency with scientific programming (e.g., Fortran/C/C++/Python) and Linux is an advantage Experience with data
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, potentially in combination with artificial intelligence and high-performance computing (HPC) technologies. In particular, you will apply (hybrid) quantum computing solutions to EO use cases for which current
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models using advanced operator learning and physics-informed AI techniques, leveraging high-resolution X-ray imaging data and high-performance computing (HPC) resources. The position offers a unique
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projects that target NERSC HPC systems. Analyze and optimize quantum-related workflows, including classical simulation of quantum systems. Develop and apply advanced workflow capabilities such as on-system
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Research Associate. The Goodwill Computer Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning
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or OpenMP. Experience in heterogeneous programming (i.e., GPU programming) and/or developing, debugging, and profiling massively parallel codes. Experience with using high performance computing (HPC