7 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at Argonne
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worldwide with world-class expertise and instrumentation for multidisciplinary nanoscience and nanotechnology. Learn more about CNM themes at: https://cnm.anl.gov Focus Areas (expertise in one or more is
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Physicist position focused on artificial intelligence and machine learning (AI/ML) for advanced tuning, diagnostics, and control of particle accelerators. The successful candidate will : Take a leading role
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advanced detector systems. ATLAS is supported by the Department of Energy (DOE) Office of Nuclear Physics and hosts 300-500 users annually from universities and national laboratories in the U.S. and
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independently conducting machine studies to diagnose and resolve operational issues. Support APS performance improvements by conducting accelerator experiments, processing and analyzing data, and performing
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Computer Science, Artificial Intelligence, Machine Learning, Computational Biology, Bioinformatics, or a related field. Strong programming skills in Python, with experience in AI/ML frameworks (PyTorch, JAX, Hugging
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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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optimization, active learning, adaptive measurement) Generative, reinforcement learning, and agentic approaches to streamline experimentation and accelerate discovery Integration of HPC, data infrastructure, and