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This position combines infrastructure building, method development, and hypothesis-driven research, offering the opportunity to shape a flagship biodegradation platform at the interface of Biotechnology and
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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
systems as well as towards designing observer-based state estimators from output timeseries data measurements. The research also involves development of uncertainty quantification techniques for the learnt
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allows the successful applicant to choose a flexible balance between advanced machine learning method development and exciting applications on molecular data, including biomedicine and drug discovery
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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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and built 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
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Professor Miina Rautiainen at Aalto University and will work in close collaboration with partners across this internationally recognized consortium. The main research responsibilities include the development
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to important applications. We educate future generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society. The Soft Matter and
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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
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transport for inverse problems One of the central topics of the research projects is the further development of theory and methods for the concept of optimal transport for inverse problems. Optimal transport