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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
cutting edge machine learning techniques for sequential data modelling, including Physics-informed Machine Learning and Koopman Operator-based representation framework, towards building interpretable
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to take part in the supervision of PhD students and the teaching activities of the research group. Your network and team Currently, our research group consists of 1 professor, 1 lecturer, 1 staff scientist
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surface wetting methods Analyzing and reporting of obtained results, and planning the future work based on the results Working closely together with the other team members Contributing to the maintenance
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an advantage. We expect the candidates to have: Completed a PhD degree in a field complementary to the goals of QDOC. The candidate must show evidence of good written and oral communication skills in English
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changers of tomorrow, and renew society with research-based knowledge, creativity, and an entrepreneurial mindset. Culture that inspires and includes everyone. All our work is guided by the values