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Missouri University of Science and Technology | Rolla, Missouri | United States | about 13 hours ago
, structural analysis, and property measurement for industrial applications. Faculty conduct research in areas including metallurgy, ceramics, critical minerals, biotechnology, and advanced manufacturing
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at risk, and develop strategies for sustained weight loss and long-term weight maintenance. Yvonne Böttcher’ s research group (https://functionalgeneticsofobesity.wordpress.com/ ) is investigating the role
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The Department of Built Environment https://www.oslomet.no/en/about/tkd/be at Oslo Metropolitan University has a vacancy for a PhD candidate available in the area of railway systems/railway sleepers in UHPC
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development with retrieval-augmented generation Desirable: Industrial analytics or predictive maintenance Knowledge of construction-related industries and market drivers Commercial awareness to connect
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and track defects in wheels, brakes, pantographs and other components. The PhD candidate will link TrainGate detections and early warnings with maintenance, incident, operational and cost data and
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performance concrete (UHPC). The project aims to develop and validate durable UHPC sleeper solutions that can improve structural performance, reduce maintenance needs, and extend the service life of railway
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characterization of novel materials for construction and infrastructure maintenance; repurposing of materials to improve the sustainability and resilience of infrastructure systems; transforming the design and
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, TPD, and RAIRS. development, maintenance and troubleshooting on various experimental UHV setups participating in maintenance of the group laboratories. data analysis and writing scientific publications
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This is a four-year (1+3 MRes/PhD) studentship funded through the Cambridge EPSRC Centre for Doctoral Training in Future Infrastructure and Built Environment: Unlocking Net Zero (FIBE3 CDT). Further
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Engineering for Climate Resilience’ https://reviverestore.org/genetic-engineering-for-climate-resilience/. The project aims to leverage deletion library generation approaches to identify climate resilience