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related fields. Demonstrated research experience in biodegradation, polymer-microbe interactions, or environmental biotechnology. Practical experience with bioreactors, analyzing multi-modal data and at
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
. Scientific Environment The Nonlinear Systems and Control group (https://www.aalto.fi/en/department-of-electrical-engineering-and-automation/nonlinear-systems-and-control ) in the School of Electrical
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
comprehensive social security system. The primary workplace will be the Otaniemi Campus at Aalto University. Position is available immediately or as agreed. Scientific Environment The Nonlinear Systems and
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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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cutting-edge research in experimental electrocatalysis and materials science, contributing to a high-impact project within a dynamic, collaborative, and supportive team environment. Your responsibilities
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of scientific results and be well versed in data handling and linux/unix based high performance computing environments (HPC computing). The candidate must have good oral and written command of English. What we
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, and supportive team environment. Your responsibilities will include: Your primary task will be to carry out research on the electrocatalytic upcycling of plastic waste. This involves: (a) Developing
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data to test environments, which is necessary to resolve distribution shifts, hidden confounders, and faulty assumptions. Depending on your interests, your work will explore domain adaptation, learning
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collaborators. Your work will develop algorithms, inference methods, and frameworks to adapt models from training data to test environments, which is necessary to resolve distribution shifts, hidden confounders
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-performance computing resources Experience conducting fieldwork in remote or logistically demanding environments A valid driving license in Finland, and willingness to drive independently during field campaigns