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transport for inverse problems One of the central topics of the research projects is the further development of theory and methods for the concept of optimal transport for inverse problems. Optimal transport
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, spatial, and social data into digital twin models for scenario testing and policy simulation. Adapt co-design methods to local contexts in demonstrator sites (Portugal, Sweden, Italy). Contribute to policy
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are now looking for a doctoral candidate for a PhD position at Aalto University’s Department of Architecture. In this position you will have a chance to make an impact by analysing and developing solutions
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candidates from all backgrounds to join our community. PhD Researcher: AI-Enhanced Adaptive Design for Dynamic Landscapes School of Arts, Design and Architecture – Department of Architecture Location
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assessment in architecture and construction? Do you want to work for turning down the emissions and overuse of materials in the built environment? We are now looking for a doctoral candidate for a PhD position
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concerned with optimal transport for inverse problems. Optimal transport for inverse problems One of the central topics of the research projects is the further development of theory and methods
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can simulate the impact of quantum control software on the physical quantum circuit. The work is in the context of Business Finland Quantum Computation campaign, and will be performed in close
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testing and stakeholder engagement. Collaborate closely with the PhD researcher to connect environmental data analysis with computational design innovation. Participate in fieldwork in Norwegian glacier
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effort between School of Engineering and School of Chemical Engineering at Aalto University supported by our industrial partners. The PhD student to be jointly supervised by two supervisors; Prof. Hamid
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partners. The PhD student to be jointly supervised by two supervisors; Prof. Hamid Reza Godini and Prof. Riikka Puurunen , will contribute to a high-impact collaborative research environment. This position