118 solar-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Carnegie Mellon University
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engineer, you will solve problems for government sponsors by analyzing, designing, and building responsible AI systems. Your day-to-day engineering tasks will include: Identifying and investigating emerging
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engineer, you will solve problems for government sponsors by analyzing, designing, and building responsible AI systems. Your day-to-day engineering tasks will include: Identifying and investigating emerging
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of defensive techniques. Applied Adversarial Machine Learning: Advance the state of the art in adversarial machine learning by developing and transitioning capabilities to government sponsors. Your day-to-day
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of innovation throughout its greater than 125-year history, Carnegie Mellon is recognized for arts and technology programs, collaboration across disciplines, and leadership in educational excellence
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coach with all aspects of the track & field program. This is a part-time, seasonal, academic year position. Core responsibilities will include: Assist head coach with all aspects of the track and field
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and one (1) day remote per week. Continuation of any hybrid work arrangement is not guaranteed and will be subject to further evaluation based on university policy, business needs, and institutional
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of innovation throughout its greater than 125-year history, Carnegie Mellon is recognized for arts and technology programs, collaboration across disciplines, and leadership in educational excellence
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overtime may be required during peak processing times, e.g., monthly AP closing, fiscal year end closing, etc. Joining the CMU team opens the door to an array of exceptional benefits. Benefits eligible
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and technologies. This is a fixed term 2-year position with 50% of time devoted to research and 50% to teaching and community-building activities. Meta-research is the study of how research is conducted
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of defensive techniques. Applied Adversarial Machine Learning: Advance the state of the art in adversarial machine learning by developing and transitioning capabilities to government sponsors. Your day-to-day