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will focus on integrating AI agents into dynamic multi-modal transportation networks and supply chain networks. The postdoctoral researcher will lead funded research projects, supervise graduate research
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machine learning. It focuses on developing innovative algorithms and models to address complex problems in diverse fields such as robotics, healthcare, and finance. The department offers a range of
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curious to deliver work that matters, your journey starts here! Innovation. Interdisciplinary collaboration. Complex problem solving. In Carnegie Mellon University’s Department of Mechanical Engineering
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learning methods for computational chemistry, materials science, and molecular discovery, including transferable neural network potentials, generative molecular design, and experiment-automation workflows
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an in depth knowledge of a specialized field, process, or discipline and may involve organizing and implementing complex research plans, the development of methods of research, testing and data collection
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curious to deliver work that matters, your journey starts here! Innovation. Interdisciplinary collaboration. Complex problem solving. In Carnegie Mellon University’s Department of Mechanical Engineering
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Multiobjective optimization approaches to enable safety by design Evaluation, for example evaluating the performance of an agent over time, evaluating it in complex multi stakeholder environments, etc
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with public and private data sets (e.g., O*NET and Lightcast). A computer science background and the ability to build data pipelines are a plus, as well as fluency in modern AI tools. This position
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field, process, or discipline and may involve organizing and implementing complex research plans, the development of methods of research, testing and data collection, analysis and evaluation, and writing
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curious to deliver work that matters, your journey starts here! Innovation. Interdisciplinary collaboration. Complex problem solving. In Carnegie Mellon University’s Department of Mechanical Engineering