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leading role in detector operations and in major upgrade efforts, including the ITk Pixel detector and TDAQ systems. The group is also actively advancing work in high-performance computing (HPC) and machine
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time AI-enabled analysis of high-throughput, multimodal experimental data with uncertainty quantification Integration of edge computing, high-performance computing (HPC), and scientific data
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(HPC), and world-class engineering support. Concurrently, MSD and Q-NEXT drive state-of-the-art quantum initiatives focused on fundamental and applied quantum information science, highlighted by recent
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accelerate discovery Integration of HPC, data infrastructure, and ML pipelines for data-driven and autonomous research Digital twins and simulation-augmented AI tools Key Responsibilities: Evaluate
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(HPC). The postdoc will work closely with visualization researchers, AI scientists, and domain application teams across Argonne and the broader DOE ecosystem. The goal of this postdoctoral position is to
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accelerate discovery Integration of HPC, data infrastructure, and ML pipelines for data-driven and autonomous research Digital twins and simulation-augmented AI tools Key Responsibilities: Guide
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. Experience comparing simulated and experimental XAS/XAFS spectra. Experience with high-throughput spectroscopy workflows, HPC, synchrotron datasets, or physics-informed AI. **Please include a cover letter that
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models, reinforcement learning, and agent-based approaches to streamline experimentation and accelerate discovery Integration of HPC, data infrastructure, and ML pipelines for data-driven and autonomous
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. Experience in numerical methods and CFD development using mesh-based scientific codes. Expertise in the lattice Boltzmann method (LBM) as evidenced by their publications High performance computing (HPC