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We have rich research opportunities to apply all kinds of machine learning techniques to high quality data and make a significant impact in science. We welcome researchers from outside SLAC, both from academic institutions and industrial companies, to form research collaborations. We also encourage interested students to reach out about available research opportunities. Contact us at aiml@slac.stanford.edu for any inquiries or to learn more about research opportunities at the intersection of physics and machine learning at SLAC.
ML-at-SLAC Initiative
Daniel Ratner Initiative Lead Accelerator
Youssef Nashed Associate Scientist Machine Learning
Sara Miskovich Research Associate Accelerator
Ryan Humble Graduate Student Machine Learning