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APPLY NOW - 2026 SCEC Tandem Training Workshop (Jun 22-24, 2026)
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The Statewide California Earthquake Center (SCEC) invites you to participate in the "2026 SCEC Tandem Training Workshop - Modeling the Earthquake Cycle from Faults to Supercomputers" from June 22-24, 2026 at UCSD in San Diego, CA. In this workshop, up to 30 graduate students, postdoctoral researchers, and early career scientists will be trained to use Tandem, an open-source high-performance computing code that models the earthquake cycle with realistic fault geometry, material heterogeneity, and frictional behavior.
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Participants will design Sequences of Earthquakes and Aseismic Slip (SEAS) simulations that build on SCEC community datasets and Earth models, generate meshes, run computations on their own laptops and on national supercomputers, and learn to interpret the resulting outputs. The workshop combines short lectures with guided hands-on exercises, dedicated time for participants to develop their own simulations, and invited speakers. Participants will acquire understanding not only of the Tandem software, but also of the state-of-the art SEAS simulations and their future directions.
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Number of Participants: Attendance is limited to 30 in-person participants. Accepted applicants will be notified by March 30, 2026.
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Audience: We encourage applications from anyone interested in SEAS simulations and motivated to develop computational and numerical modeling skills. The workshop is especially well-suited for graduate students and postdoctoral researchers with an interest in earthquake physics, geodesy, seismology, geodynamics, or related fields. Prior experience with high-performance computing is not required, but a willingness to engage with computational tools is important.
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Computing Requirements: A laptop with the following specifications is required to participate in the workshop:
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macOS: Version 14 or higher Windows: Windows 11 Linux: An up-to-date distribution (e.g., Ubuntu or Fedora) Memory (RAM): 8 GB minimum (16 GB recommended)
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Workshop Organizers: Bar Oryan (UCSD), Alice-Agnes Gabriel (UCSD), Dave May (UCSD), Jeena Yun (UCSD), Yohai Magen (UCSD)
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