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for Smart Cities of Tallinn University of Technology (TalTech) invite applicants for a 4-year PhD position in the field of responsible AI governance for smart city development. The project focuses on how
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=VRczgu0AAAAJ ) and Patric Jannasch (https://scholar.google.com/citations?hl=en&user=OEN-Xa8AAAAJ ). The successful candidate works in a team, but also develops her/his own research approaches and ideas in
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of guaranteeing thermal comfort throughout all seasons. The project will be developed by integrating parametric urban design with microclimate simulations and measurements, GIS and Digital Twin technologies, and
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computational approaches that integrate process-induced stresses into the structural design stage. Project goals The objective of this PhD project is to develop a topology optimization framework for LPBF
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on the listed research questions and tasks and propose theoretical lenses to be used. The research plan will be developed further considering project aim and research questions as well as on-going
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Vaimann, Department of Electrical Power Engineering and Mechatronics: Electrical Machines Research Group Summary The main objective of this research project is to develop an integrated diagnostic system
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Research Group Description The proposed research aims to investigate and develop advanced artificial intelligence methodologies for battery life management in V2X-integrated Software-Defined Vehicles (SDVs
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areas in the Nordic climate of Estonia, considering the potentially competing objectives of guaranteeing thermal comfort throughout all seasons. The project will be developed by integrating parametric
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threats affecting critical maritime operations in seaports and onboard vessels Designing and developing a prototype AI-based Maritime Security Operations Centre (SOC) Building a Digital Twin model of a
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coastal area. This will allow more robust estimates of long-term trends in eutrophication indicators, support the development of more targeted measures to achieve good environmental status of the Baltic Sea