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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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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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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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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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performance and their scalability on a vessel. The PhD candidate will address these challenges by setting up performance monitoring systems using cost effective sensors and IoT devices. To enhance assessment
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of electrical systems and system analysis to find possibilities for electrification and decarbonization diagnostics and monitoring of equipment and systems cyber security, 5G data communications, and artificial
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skills development through various doctoral workshops and seminars. A variety of benefits, including comprehensive health insurance, paid sick leave, 42 days of paid annual leave plus national public