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). The work offers opportunities to publish in high-ranking journals and conferences, collaborate with international academic and industry partners, and contribute to the development of open-source testing
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solutions for building energy management and in district energy networks, and toolkits of solutions for building and district performance assessment. The combination of computer science with the built
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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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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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technologies. This PhD project seeks to fill this gap by quantifying and comparing environmental performance across various management routes for SMR radioactive waste streams, thereby guiding technology
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embedded hardware. The ultimate goal is to demonstrate the viability of the developed approach in multilayer electrospinning. The project is part of Estonian Research Council project PSG897 “Cogni-E-spin
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. The project is part of Estonian Research Council project PSG897 “Cogni-E-spin: Cognitronic Electrospinning System for Automated Quality Control of Nanofiber Product”, which aims to create the technologies
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. Candidates are expected to reside and work in Tallinn This PhD project, titled “The Role of Urban and Rural Contexts and Time Dimensions Related to Non-Growth and Sustainability Transitions,” will be