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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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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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excellent written and spoken English The application will be considered particularly strong if the candidate has one or more of the following: Prior knowledge of peatland ecosystems Experience in using high
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collaborative working style, and excellent written and spoken English The application will be considered particularly strong if the candidate has one or more of the following: Prior knowledge of peatland
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Experience on operating cryogenic equipment below 4 K Working knowledge of AC/microwave measurement techniques Excellent skills in English. Finnish language is not required. What we offer A vigorous research
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and topological materials Mastering of micro and nanofabrication techniques Automation of experiments with MATLAB, Python, or equivalent At least a working knowledge of microwave techniques Experience