8 formal-method-phd Fellowship positions at Carnegie Mellon University in United States
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others. Prepare maps of CSAF composition across the sample(s) surface. Use scanning electron microscopy (SEM) methods to prepare maps of CSAF surface morphology. Maintain the ultra-high vacuum equipment
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structure. A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered. Preferred Qualifications: Experience with mixed-methods research and advanced
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. This position will require 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
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methods in cognitive science such as cognitive architectures, Instance-Based Learning models and Reinforcement Learning. Flexibility, excellence, and passion are vital qualities within CMU. Inclusion
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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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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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from multiple disciplines and institutions. Required: PhD in in computer vision, machine learning, artificial intelligence, or a closely related field. Strong background in machine learning / computer
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conferences, e.g., ICRA, IROS Good oral and writing communication skills Completed Phd program Flexibility, excellence, and passion are vital qualities within the Robotics Institute. Inclusion, collaboration