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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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research group of Professor Juho Rousu. The position allows the successful applicant to choose a flexible balance between advanced machine learning method development and exciting applications on molecular
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environment technologies. We are committed to educating a new generation of experts who combine technical excellence with a deep understanding of sustainable development in shaping societies. Our research
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innovative research projects and acquire external funding for them, focusing on topics related to the methodological development of photogrammetry and/or laser scanning supervise doctoral researchers and
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asked questions page as well as Recruitment privacy notice page. We offer: A unique and stimulating environment to work on cutting-edge AI method development for computational brain imaging, with ample
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. The main research responsibilities include the development of novel methods and analysis of remote sensing data to monitor water table dynamics and biophysical properties of northern peatlands, from local