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optimization, and the interplay between microstructure properties and the LPBF technique. Key aspects of the project will include the: (1) Development of novel and next generation functional materials for LPBF
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on the electrical machine optimization to achieve high energy-efficient drive system. The practical part of the work will be testing the control model with a prototype machine in the research laboratory. Research
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before densification to optimize the densification process and increase the durability and fire performance. The aim is to develop sustainable, durable, fire-resistant veneer-based products from
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modeling and computational tools, the project will establish process-structure-property relation- ships that connect LPBF parameters with microstructural evolution and mechanical performance. These insights
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each life cycle stage, and identify optimal strategies for resource recovery. Impact. This work will significantly contribute to developing a quantitative decision support system for environmental
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surroundings. The research will be run in the Autonomous Vehicles research group within the TalTech facility and using the innovative iseAuto shuttle v.2.0. By sharing perception data with other vehicles and
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? What are the optimal hardware-software architectures for deploying the above methods, test and validate the model? Applicants should fulfil the following requirements: MSc either in biomedical
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topologies tailored for DC-powered HVAC units Synthesis and implementation of control strategies enabling droop-based HVAC operation with optimized energy efficiency Implementation of simulation models (PLECS