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such as breakwaters by using computational tools developed in our research group. These tools are based on discrete element method and they have bee validated against experimental data. You will start your
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and oral communication skills in English Motivation for working in the laboratory, carrying out experiments, and data analysis Experience in one of the following fields is required from the chosen
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or similar. Running social simulations with AI agents using platforms like Concordia or similar. Coding in Python or a similar language for simulation, visualization, and advanced statistical analysis (causal
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manufacturing (printing, deposition) Working experience in clean room is highly valued Both hands-on and data analysis skills in classical materials characterization methods (i.e., TEM, SEM, XRD, XPS, NMR, IR
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, deposition) Working experience in clean room is highly valued Both hands-on and data analysis skills in classical materials characterization methods (i.e., TEM, SEM, XRD, XPS, NMR, IR, Raman, XAS, SAXS, etc
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. The Department of Architecture offers degree programs in architecture, landscape architecture, and interior architecture. For more information, please see http://architecture.aalto.fi/en/ . We are now looking for
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. The research will be carried out at the Department of Information and Communications Engineering, DICE, at Aalto University, Finland. The project environment offers excellent infrastructure for deep learning
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community. The research will be carried out at the Department of Information and Communications Engineering, DICE, at Aalto University, Finland. The project environment offers excellent infrastructure
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of October 2026, but the position will remain open until filled. For additional information, kindly contact Prof. Päivi Törmä ([email protected] ). Aalto University reserves the right for justified reasons
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List of publications (with five most significant publications highlighted) Names and contact information for two references A list of teaching experience A research plan for the postdoctoral period (1-2