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experts with varying backgrounds, and we work together in our Water Building at Aalto University’s campus. We therefore value openness for collaboration as well as multi- and interdisciplinary research
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the portfolio of available renewable materials. The CMAT Department offers a multi-disciplinary working environment, focused on micro-, nano-, and atomic scale engineering of compounds and materials. Your network
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
predictive models for complex multi-physics dynamical systems as well as towards designing observer-based state estimators from output timeseries data measurements. The research also involves development
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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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functional materials to create multi-layered security patterns with multiple security levels. The project is linked to an ongoing Business Finland Research to Business (R2B) funding application. The position
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our team in Life-wide Learning in the field of Sustainability in biobased materials. Sustainability is at the core of Aalto's mission, and The Department of Bioproducts and Biosystems (Bio2) aims to be