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multidisciplinary research network. The applicants should clearly indicate which of the three positions they are applying for. You can apply for several positions, but you should indicate your preference for those
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an excellent publication record. Solid research experience in one or more of the following topics is expected: Graph neural networks Optimization algorithms Predicting structured output Self-supervised learning
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) in computer science, mathematics or statistics, with an excellent publication record. Solid research experience in one or more of the following topics is expected: Graph neural networks Optimization
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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
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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of the department include sustainable materials and products based on lignocellulose, ranging from nanomaterials to novel cellulose-based textiles. Your network and team The position is based at the Department
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outcomes Possibility to work with students and develop your supervisory and pedagogical skills Strong networking and visibility across institutions and international partners Experience in research
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, societally relevant outcomes Possibility to work with students and develop your supervisory and pedagogical skills Strong networking and visibility across institutions and international partners Experience in
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on experimental activities. You will also work in a diverse and multi-disciplinary research environment varying from electrical engineers to electrochemists. Additionally, you will develop a network of industrial
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for realization of coherent superconducting quantum circuits, enabling scalability with minimal additional cost and reduced complexity in technology transfer. Successful realization of these components requires