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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
for sequential data modelling, including Physics-informed Machine Learning and Koopman Operator-based representation framework, towards building interpretable predictive models for complex multi-physics dynamical
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both microbes and materials and can build the tools to connect them. Required qualifications Recently completed PhD (within 2 years) in biotechnology, microbiology, bioproducts engineering, or closely
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