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program in ML / AI at the speed of wireless in Dr. Robert Calderbank’s research group. The successful candidate will conduct numerical simulations, develop and implement computational methods to interpret
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of Duke students. The successful applicant will have the chance to interact with numerous communities committed to the practice of oral history, innovative modes of inquiry-based learning, and exploration
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deep learning frameworks (e.g., PyTorch, TensorFlow, and JAX). • Experience in PDE/ODE modeling and numerical methods. • Strong interest in interpretable ML and mechanistic model discovery. Submit a
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. Robert Calderbank’s research group. The successful candidate will conduct numerical simulations, develop and implement computational methods to interpret complex data, and contribute to the preparation
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, numerical methods, and Earth system modeling to develop and evaluate a coupled xylem–phloem transport framework that translates multiscale physics into next-generation vegetation model schemes. Key