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sustainable mobility systems Transportation infrastructure resilience and asset management Transportation safety, simulation, and human factors Data-driven and AI-enabled modeling for multimodal systems
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Design Lab – works on modelling, control and optimization for mechatronic systems, industrial robots and processes (https://dynamics.ugent.be ). We are part of the department of Electromechanical, Systems
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-organ models; high-content functional screening systems; biomedical digital twins; computational modeling of living systems; AI-driven physiological and pathological modeling; high-performance computing
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
remote work location, consistent with System Office policy. UNC Chapel Hill employees are generally required to reside within a reasonable commuting distance of their assigned duty station. The Data-Driven
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advance DUMAC’s quantitative processes, develop and refine analytical models, and guide investment research that informs long‑term strategic decisions. Your work will directly support the financial
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of ecological data and sustainability issues - Materials Science: AI-driven discovery and design of new materials Applicants should have (i) a Ph.D. in Computer Science, Computer Engineering, Electrical
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Description About Us Ardent Process Technologies is on a mission to save the planet. We create technology to capture and reduce greenhouse gas emissions, avert global warming, and transform industry into a long
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, or reduced-order modeling techniques Familiarity with data-driven methods Background in chemical reactors, separation processes, or process systems engineering What you will do Develop grey-box models
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21 Feb 2026 Job Information Organisation/Company Università degli Studi della Tuscia Research Field Engineering » Industrial engineering Researcher Profile Recognised Researcher (R2) Leading
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the Research Grant Regulations of the Foundation for Science and Technology. 6. Work plan: The RiskMap project aims to develop an AI-driven tool to map degradation risks on historic building facades, using