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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days 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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-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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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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campus in the field of molecular modeling and data-driven drug discovery. As part of the project, you will have the opportunity to undertake an exchange period with the Kronenberger lab in Tübingen
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division focusing on data-driven control methodologies. About the research project Model-based control is arguably the prime framework to perform certifiably-safe regulation of dynamical systems. However
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advanced engineering approaches, including model-based engineering methods, digital representations of systems and processes, immersive engineering environments and data-driven engineering techniques
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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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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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feasibility studies. You will also integrate operational feedback from the market-driven dispatch models into financial, regulatory and policy-oriented tools You will contribute to investment and business
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Description The Teamcore Group (https://teamcore.seas.harvard.edu) at the John A. Paulson School of Engineering and Applied Sciences (SEAS) at Harvard University seeks postdoctoral fellows to work on AI