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testing and computational simulations (e.g., finite element analysis, fluid-structure interaction). This work will contribute to improving our understanding of valve biomechanics, inform device design, and
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energy goals. ESIA also develops, deploy, and advance grid technologies that ensure a robust and secure U.S. grid transmission and distribution system. We collaborate with government agencies as
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at a fraction of the computational cost. Recently Argonne successfully implemented, AERIS, a state-of-the-art seasonal-to-subseasonal (S2S) weather model AI model. A successful candidate will collaborate
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data in domestication and varietal development of winter camelina and pennycress 20% Development of publications and presentations to distribute research results to the scientific community and other
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) • Big data pipelines, distributed computing, and geospatial data processing • Python, R, SQL/NoSQL, containerization (Docker), Kubernetes • API development and web-based analytics tools • Systems
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | about 1 month ago
representation and speed of computation for GISS climate model, particularly the treatment of cloud inhomogeneity in GCM grid scale (~200 Km) and the improvement of K-distribution parameterization for gaseous
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closely related fields · Experience and proficiency with CLM and/or other distributed hydrologic models, and a strong computational and programming background · Ability to work
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career. The appointment is not part of a clinical training program, unless research training under the supervision of a senior mentor is the primary purpose of the appointment. The Postdoctoral Appointee
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. Demonstrated experience developing and running computational tools for high-performance computing environment, including distributed parallelism for GPUs. Demonstrated experience in common scientific programming
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University of California, Los Angeles | Los Angeles, California | United States | about 20 hours ago
of mathematical theory, statistical methods, and software in statistical genetics. This role is ideal for a researcher with strong quantitative and computational skills interested in foundational research exploring