64 evolution-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Argonne
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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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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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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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Manufacturing group perform science-based membrane synthesis and scaleup development by using roll-to-roll manufacturing and machine learning enabled in-line characterization and quality control methods
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of these systems are insufficient to cover the diversity of human-driven experimental activities. The development of multi-appendage, dexterous robots with embodied intelligence is a key to closing this gap
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visionary leadership to define and advance ESRA’s scientific strategy and research priorities in energy storage, electrochemistry, and related fields. Lead the development of ambitious, cohesive research
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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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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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, energy storage and conversion materials, correlated electron systems, and AI/ML-accelerated materials discovery. • Lead the development of ambitious, cohesive research agendas that leverage MSD’s core