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simulations and multiscale spatial-omics data. • Integrate uncertainty quantification into scientific machine learning workflows and optimize the design of computational (ABM) and wet-lab experiments
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, United States of America [map ] Subject Areas: Computer Science Mathematics / applied mathmetics , Mathematical Sciences , Partial Differential Equations , Statistics Machine Learning Appl Deadline: none (posted 2025/08
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of postgraduate experience. Skills The candidate must have strong experience in statistical mechanics, molecular simulations, polymer and colloidal physics, coarse-graining, computer programming, and high
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Duke University, Physics Position ID: Duke -Physics -TROXELPDA2025 [#29051] Position Title: Position Type: Postdoctoral Position Location: Durham, North Carolina 27708, United States of America