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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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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, analysis and
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in behavioral science research methods and statistical analyses. Experience with statistical software (preferably R, others acceptable). Experience with computational/cognitive modeling (e.g
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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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. 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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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, analysis and
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be disseminated through academic publications and online webinars. The successful candidate will have a PhD in human-computer interactions or computer science and related fields, with demonstrable
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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