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The ALCF has an opening for a postdoctoral position in AI-assisted scientific visualization and intelligent data exploration. The successful candidate will join the Visualization and Data Analytics
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for applications in quantum information science. While focused on this core responsibility, the candidate will be encouraged to explore novel avenues of research that complement and enhance the group’s overall
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methods for analysis, tuning, and control of particle beams and accelerator systems, with applications to the APS injector and the newly-upgraded APS storage ring. This work will explore applications
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work within a multidisciplinary team with researchers at MERF and collaborators inside and outside Argonne. The candidate is expected to design and conduct experiments, analyze data and explore
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implement continuous learning approaches that allow models to improve over time as new data, validation results, or experimental feedback become available. Explore agentic AI approaches for federated learning
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of Transition Edge Sensor (TES) bolometers for studies of the Cosmic Microwave Background (CMB), while also supporting the exploration of novel applications for superconducting detectors. As a member of Argonne’s
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synchrotron and X-ray free-electron laser (XFEL) facilities for exploring transient states with high temporal and spatial resolution. Although the maximum salary for the position is $117,925, the actual range
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of this role will be exploring how intrinsically disordered proteins (IDPs) mediate signaling mechanisms, with a particular emphasis on cancer therapeutics. Supported by a multi-year ARPA-H grant, this project
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an integrated framework to explore advanced workloads including simulations with in-situ visualization and, possibly, machine learning integration. This work will inform future ALCF platform procurement decisions