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forest biomass. We specialize in bio‑based materials science and the surface chemistry of lignocellulosic materials, with emphasis on fundamental insights and interaction forces. Our research themes
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, you will apply for the study right in doctoral studies at Aalto University School of Electrical Engineering. Thus, please see the student information and admission criteria at https://www.aalto.fi/en
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materials, sustainability, and understanding how things work (or do not)? Are you interested in synthesizing thin film materials, characterizing their structure and electrochemical performance, and
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researcher in the field of protein-nucleic acid hybrid materials We are seeking a doctoral researcher to join a Research Council of Finland-funded project ( https://research.fi/en/results/funding/88763
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goal will also be to go beyond trajectory prediction by coupling these approaches with methods for learning explicit, interpretable mechanistic ODEs, including their symbolic structure [3]. Lastly
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modelling, risk assessment, and digital rock mass characterisation. He leads the numerical modelling of rock-liner interaction and will design the in-situ experiments together with you. Around you
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current with developments in spacecraft propulsion, nanosatellite engineering, and plasma interaction technologies, integrating new findings into project activities. Contribute actively to outreach
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physically consistent and to enforce desired structure in the results. The second is physics-informed learning, which combines available historical data with known system dynamics as a regulariser
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fleet can act as one Virtual Power Plant. Read more about the project and other participants here: https://aegis-dn.eu/ Your role: You will be working on “End-to-End Energy Modeling for Distributed AI
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, and decide reliably in complex, human–robot shared environments. The Mobile Robotics ( https://www.aalto.fi/en/department-of-electrical-engineering-and-automation/mobile-robotics ) and Intelligent