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networking, distributed quantum computing, quantum-system architectures, or closely related areas. Develop models, algorithms, simulation capabilities, and research software for the design and evaluation
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language. Working knowledge of UNIX or Linux. Preferred Knowledge, Skills, and Experience Experience with machine learning and accelerator operation. Experience working with complex algorithms. Experience
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experimental cycle from real-time X-ray measurements to post-experiment reconstruction: Develop learning-enabled algorithms for 3D reconstruction of noisy and heterogeneous synchrotron datasets. Implement
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measuring MEMS devices, as well as designing feedback loops and control algorithms for their precise operation Experience using software tools to simulate the physical properties and behavior of MEMS
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experiment or another collider-based high-energy physics experiment Experience with silicon detectors, Trigger/DAQ systems, or detector operations Experience in software and computing, including distributed
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. This position will contribute to the Forge project, which is focused on developing advanced multimodal AI capabilities that can learn across distributed data environments without requiring sensitive data to be
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Directed Research and Development (LDRD) project. This research focuses on understanding how critical elements are distributed at mineral-water interfaces, with the goal of revealing the fundamental chemical
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to quantify the impacts of new component technologies, control algorithms and powertrain architectures with focus on advanced technologies. The candidate will assist on projects to benchmark next generation
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algorithms to severe weather prediction Proficiency in C++ and experience running simulations on GPU-based systems Familiarity with convection-permitting models such as E3SM and ERF Job Family Postdoctoral Job
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for accelerators, beamlines, insertion devices, or large-scale user facilities. Practical application of AI/ML techniques to controls, diagnostics, or operational optimization. Familiarity with distributed control