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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 3 hours ago
Position Information General Information Position Number 013500 Vacancy Open to All Candidates Working Title Building Information Model Manager - BIM Manager Position Designation EHRA Non-Faculty
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27 Mar 2026 Job Information Organisation/Company CentraleSupélec Rennes campus Department Smart Energy Department Research Field Engineering » Electrical engineering Computer science » Modelling
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Applications are invited for the above post, to start in April 2026 for a fixed term of six months. The successful applicant will work with Dr Alice Thompson on modelling fluid flow and transport in
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to the UrEco 2030+ project: “Optimizing Urban Ecosystem Services Model for Urban Climate and Biodiversity in Singapore towards 2030 and Beyond.” This position requires experience in Geographic Information
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development – development of scenarios for the network analysis. --- Model development – development of an approach to investigate techniques to enable IoT devices with microwattlevel power consumption
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for students with MSc degree with reference number BI|2026/881 under the scope of the Projet SALVE: Securing Artificial Language Models Against Vulnerability Encoding (2024.14936.PEX), funded by Fundação para a
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will focus on the development of advanced thermoelectric cooler designs for on-chip cooling applications within the MGICIAN Doctoral Network. The project will address model-based and data-driven design
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? Do you have a background in in vivo rodent models and laboratory techniques? Do you want to expand your knowledge and further your career in one of the UK’s leading research intensive Universities? We
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Keen to push the frontiers of multiphase reactor modeling and accelerate the scale-up of emerging net-zero technologies? Join us at the Department of Chemistry and Chemical Engineering ! About us
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, and can analogous mechanisms be engineered into multi-agent AI systems? You would answer this question by building and testing computational models, developing multi-agent simulations where agents