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, benchmarking and deploy them for applications. The ideal candidate would be a PhD in geophysical sciences, computer science, or machine learning with experience in developing and verifying deep learning
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production-quality machine learning software. Experience with machine learning or deep learning frameworks such as PyTorch, TensorFlow, JAX, or similar tools. Knowledge of federated learning
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machine learning (ML) to address future physics and detector challenges. Current physics interests include Standard Model measurements and searches for new phenomena. We welcome applicants who are
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