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projects in artificial intelligence, materials engineering, chemistry, and beyond at Argonne National Laboratory. Position Requirements Recently completed PhD within the last 0-5 years in computer science
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models Disseminate research through publications, presentations, and open-source contribution Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in Materials Science, Data
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. Position Requirements A formal education in Physics, Materials Science, Chemistry, or a related field at the PhD level with zero to five years of employment experience. Demonstrated experience with high
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to effective therapeutic strategies targeting IDPs Collaborate on the development of open-source machine learning tools to support these therapeutic designs Work closely with high-throughput screening teams
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, interdisciplinary environment with access to large-scale computing resources and diverse scientific use cases. The position strongly supports publishing in top-tier venues, contributing to open-source research
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The Advanced Photon Source (APS) (https://www.aps.anl.gov/ ) at Argonne National Laboratory (Lemont, Illinois, US (near Chicago)) invites applicants for a postdoctoral position to build a physics
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-world problems. Position Requirements Recent or soon-to-be completed (typically within the last 0-5 years) PhD in Electrical Engineering, Industrial Engineering, Applied Mathematics, or a closely related
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, superconducting nanowire particle detectors and pixelized MCP-PMTs. Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in experimental nuclear or particle physics or a related
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-accelerator applications. This work supports AWA’s mission to enable next-generation, energy-frontier particle accelerators. The AWA portfolio spans beam-driven wakefield acceleration, generation of bright
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of Light Source data such as that from the Advanced Photon Source, Biology, Astronomy, and other science disciplines. The chosen applicant will have a rare chance to work on exascale supercomputing systems