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the built environment. The aim is to develop and validate a low-barrier digital toolkit that integrates material passports with modular LCA procedures to optimize resource reuse in construction and demolition
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pathway to low-carbon electricity generation combining simplified fabrication, shortened construction, and reduced capital lead times compared to large gigawatt-scale reactors. Despite these operational
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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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and in-field operation. The project will investigate co-simulation and multi-domain integration methods, linking ECU DTs with vehicle dynamics, powertrain, and in-vehicle communication networks
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studies. Responsibilities and tasks Design of control algorithms for additively manufactured machines Additive manufacturing, also known as 3D printing, is opening up new ground for innovations in low
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language descriptions of traffic, regulations, and edge cases, and to generate structured outputs suitable for simulation. The candidate will explore how LLM-driven scenario generation can complement and systematically
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collaboration, the project also aims to enhance Tallinn University’s research excellence and capacity. Four doctoral students and postdoctoral researchers are recruited through an international competition
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low temperature densification process technologies. Test and characterize the structure, moisture resistance, dimensional stability, surface and properties. Study and characterize the fire performance of densified
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dynamic, interdisciplinary, and international team Successful candidate should have prior experience in at least one of those areas: analytical methods (e.g. pro- filometry, SEM), machine learning and/or
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to advanced laboratory and validation infrastructure Opportunities for research visits, conference travel, and collaboration with leading universities and companies A dynamic, international team environment