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& robust control, and learning for dynamics & control. The main task of the PhD student will be to develop sound data-driven methodologies for learning control policies with provable guarantees
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Aalto University is looking for an Postdoctoral Researcher in Artificial Intelligence / Machine Learning Engineering [Academic Research Software Engineer] to a postdoctoral-level position. The
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researchers who plan a career as a scientist. HIIT Research Fellow HIIT Research Fellow positions support the career development of excellent advanced researchers who already have some postdoctoral research
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through long-term impact assessment and optimization. The goal is to develop a framework to estimate carbon emissions across AI's development, operation, and use. This framework enables stakeholders
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through long-term impact assessment and optimization. The goal is to develop a framework to estimate carbon emissions across AI's development, operation, and use. This framework enables stakeholders
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industrialized building techniques. Potential research topics include, characterization of wood materials, particularly their mechanical properties, development of engineered wood products (e.g., CLT, LVL, GLT
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buildings and their evolving significance. By pioneering a novel theoretical framework and advancing innovative research methods, the project aims to profoundly influence the development of future landmarks
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on the development of a computational setup for fiber-enriched materials design within the Processing-Structure-Properties-Performance (PSPP) framework under the joint supervision of Assistant Professor Sergei Khakalo
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must have a Master’s degree and must fulfill the requirements for doctoral students at the Aalto University School of Engineering. https://www.aalto.fi/en/study-options/aalto-doctoral-programme-in
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cloud-relevant policies, and what impact these policies may have. This involves three related responsibilities: Documenting and categorizing government cloud policies The researcher will develop a dataset