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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
to develop machine learning-enabled approaches for predictive modelling and state estimation for fundamental applications within physical sciences. Your role The main research responsibilities involve building
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
from all backgrounds to join our community. The Nonlinear Systems and Control group is seeking a talented and ambitious Postdoctoral Researcher to develop machine learning-enabled approaches
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artificial intelligence for energy conversion systems (e.g., electric machines and drives, power electronics, electrolysers). Your role As a postdoctoral researcher, you will advance AI-based technologies
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from all backgrounds to join our community. The Electric Drives Group is seeking two postdoctoral researchers to develop artificial intelligence for energy conversion systems (e.g., electric machines and
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researchers in applied mathematics and machine learning. This is due to its remarkable flexibility, mathematical elegance, and as it has produced state-of-the-art results in many applications. As a leading
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to deploy machine learning to support data analytics and complex decision-making processes. Knowledge of modern SW-tools in the area of energy and sustainability is highly beneficial. Your role and goals You
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optimization tools, also supported by machine learning. Here, sustainable collaborative models play a very important role. We also work with other groups to learn more about and support topics such as process
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. The concept has lately gained increasing interest from researchers in applied mathematics and machine learning. This is due to its remarkable flexibility, mathematical elegance, and as it has produced state