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Architecture (ARTS) is a Nordic leader in higher education for design, fashion, games, media, architecture, film, art education and fine art. We produce world-class research e.g. in design, digital media and
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the faculty on academic research projects, teaching related tasks and assignments about societal impact. Potential tasks include data collection and analysis, conducting literature reviews, statistical analyses
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research projects, teaching related tasks and assignments about societal impact. Potential tasks include data collection and analysis, conducting literature reviews, statistical analyses, research interviews
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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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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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in peatland field measurement campaigns, as well as teaching and student supervision at Aalto University. The postdoctoral researcher is expected to participate in extended field campaigns during
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-Sailors) network, funded by the Marie Skłodowska-Curie Actions (MSCA) Doctoral Network Programme. The E-Sailors network is designed to train the next generation of Electric solar wind sail (E-sail
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international surveys (7th in Europe and 1st in the Nordics (NTU 2023); and 88th worldwide in Times Higher Education subject ranking 2025). We are now looking for a Doctoral Researcher in interactive AI to join
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
to develop machine learning-enabled approaches for predictive modelling and state estimation for fundamental applications within physical sciences. Your role The main research responsibilities involve building
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
from all backgrounds to join our community. The Nonlinear Systems and Control group is seeking a talented and ambitious Postdoctoral Researcher to develop machine learning-enabled approaches