80 developer-"https:" "https:" "https:" "https:" "https:" "CSIC" positions at Argonne
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Argonne National Laboratory’s Accelerator Science Division is seeking a Postdoctoral Appointee to contribute to the development of a Sub- THz Collinear Structural Wakefield Accelerator
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the development of novel research concepts. The scientist will lead Argonne’s Rapid Prototyping Laboratory (RPL), a team of computer scientists, roboticists, data scientists, and subject matter experts
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simulations on the Aurora supercomputer, using AMReX (https://amrex-codes.github.io/amrex/ ) and the lattice Boltzmann method (LBM). The candidate will develop flow/geometry-aware refinement strategies that go
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Argonne National Laboratory invites applications for a Postdoctoral Researcher position in Superconducting Detector Development and CMB Instrumentation. This role focuses on advancing large arrays
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The Nanocomposite Materials and Membrane Manufacturing group in the Applied Materials Division (AMD) has an opening for a postdoctoral researcher to develop materials, membranes, and fabrication
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This is an opportunity for a knowledgeable and creative individual to be part of a team developing advanced humanoid and dexterous robotic capabilities for scientific use-cases. Recent progress has
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diverse research portfolio, foster cross-disciplinary collaboration, and grow the center’s scientific impact. This role includes developing and executing a compelling research vision aligned with Argonne’s
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A postdoctoral position is immediately available at the Advanced Photon Source (APS) at Argonne National Laboratory. The successful candidate will contribute to the development of ultrafast
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on GitHub: https://github.com/AD-SDL/MADSci AD-SDL organization on GitHub: https://github.com/AD-SDL Job Family Research Development (RD) Job Profile Computational Science 3 Worker Type Regular Time Type Full
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Argonne National Laboratory, in the Applied Materials Division, has an immediate opening for a postdoctoral appointee. The candidate will develop physics-based models to predict the structure and