21 machine-learning Postdoctoral research jobs at Carnegie Mellon University in United States
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curious to deliver work that matters, your journey starts here! The Machine Learning Department (MLD) at Carnegie Mellon University is a leading hub for research and education in artificial intelligence and
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The Department of Electrical and Computer Engineering ranks among the best in the country. Our research programs are at the forefront of the technologies that have changed the world we live in. Our
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and workforce learning outcomes to inform the development and maintenance of the learning infrastructure (learning management system (LMS), auto-grading, social interaction), design of features
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/remote users. Your core responsibilities will include: Designing, synthesizing, and characterizing a variety of nucleic acid nanostructures and machines Collaborating effectively to provide nanostructures
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. Professor Majidi's career mission is to discover materials, hardware architectures, and fabrication methods that allow robots and machines to behave like soft biological organisms, and be safe for contact
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place emphasis on practical problem solving, interdisciplinary learning, a visionary spirit, and collaboration. The CS Research Department within the School of Computer Science is looking for a Research
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university’s creative, dedicated and close-knit community. We place emphasis on practical problem solving, interdisciplinary learning, a visionary spirit, and collaboration. The CS Research Department within
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. Minimum level of prior work experience required. A background in one or more of the following areas; experimental biomechanics, biomechanical modeling, wearable sensing, deep learning, computer vision
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seamlessly interact with the real world. It will require a thorough understanding of machine learning, robotics, and multi-modal learning and large language models. Leading the CMU Safe AI Laboratory, Ding
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human-machine interaction and such other tasks that are assigned to you. Your core responsibilities will include: Performing independent research on multifunctional soft materials. Maintaining laboratory