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, the CSAFs will be characterized using secondary electron spectroscopy for micron level imaging of the CSAF morphology across the substrate. The local CSAF thickness and local CSAF composition will be
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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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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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manuscript writing for publication in first-tier computer vision and machine learning conferences. Maintain lab equipment and mentor graduate students. Collect and analyze data, including performing literature
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page) from prospective faculty collaboration host at CMU Preferred Qualifications (years of experience, degree level, certifications, etc) PhD Required Skillsets (proficiencies, competencies, research
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page) from prospective faculty collaboration host at CMU Preferred Qualifications (years of experience, degree level, certifications, etc) PhD Required Skillsets (proficiencies, competencies, research
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: Computational Biology Department (CBD) Computer Science Department (CSD) Human?Computer Interaction Institute (HCII) Language Technologies Institute (LTI) Machine Learning Department (MLD) Robotics Institute (RI
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written communication skills Strong organization and planning skills Strong problem-solving and reasoning skills Dependable programming skills Ability to conduct quantitative and qualitative analyses
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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