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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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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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, who engage with questions about social equity in both research and teaching, and who have strong grounding in the methods and practice of oral history. The holder of this postdoc will teach two courses
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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