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for excellent young scientists. Requirements Key requirements for the position: You hold (or expect to shortly receive) a PhD in computer science, statistics, mathematics or a related field. You have previous
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to work on the discovery of new superconducting materials with high critical temperatures, using novel methods and concepts such as machine learning and quantum geometry. The project is related to large
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
Engineering at Aalto University explores synergies between nonlinear control theory and machine learning to provide formal guarantees on performance, safety, and robustness of complex systems. We are a part of
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
between nonlinear control theory and machine learning to provide formal guarantees on performance, safety, and robustness of complex systems. We are a part of the Finnish Center for Artificial Intelligence
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research projects funded through national and European programs. The PhD project will focus on the design, analysis, and evaluation of the behavioural impacts of user-oriented traffic and mobility management
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) research group and contribute to ongoing and forthcoming research projects funded through national and European programs. The PhD project will focus on the design, analysis, and evaluation of the behavioural
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Biotechnology research at Aalto University. The lab will develop next-generation methods to evaluate, understand, and engineer biodegradation of polymers such as plastics, microplastics, and textile-derived
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-being, accessibility, and equity, and how these shape individuals lived experiences of urban environments. The PhD project may focus on one or more of the following themes: (i) experiential and emotional
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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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We expect you to have a PhD (or equivalent) degree in mathematics, a strong research background in analysis with emphasis on areas supporting one or several of the research topics above, and motivation