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Innovation. Interdisciplinary collaboration. Complex problem solving. In Carnegie Mellon University’s Department of Mechanical Engineering, faculty members, researchers, and students
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University. Candidates should have experience with molecular biology and AAV design and production, small animal surgery including stereotaxic brain injections, a background in bioinformatics and the ability
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design, robotics, computational engineering, advanced manufacturing, and bioengineering. In addition, they are using their expertise in interdisciplinary research centers across the university. We
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maintenance of the learning infrastructure (learning management system (LMS), auto-grading, social interaction) and design of features that enable learning research. New initiatives include the development
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mentors for the fellow will be Aarti Singh and Bryan Wilder. Specific areas of technical research include online learning, sequential decision making, experimental design, and causal inference. The fellow
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The Carnegie Mellon Biomedical Engineering department seeks to transform healthcare worldwide through interdisciplinary engineering innovation and to train future leaders and innovators in
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commencement. Strong verbal and written communication skills. Demonstrated ability to write results for publication in the scientific literature. Ability to plan and facilitate research related events. Strong
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data analysis and visualization, as well as machine learning and inverse design techniques. Training and supervising masters and doctoral students. Coordinating research with external collaborators
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collaboration across the university. In this role you will work on overarching problems in peer review and other human-evaluation systems, such as using theory and experimentation to design the overall structure
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The Carnegie Mellon Biomedical Engineering department seeks to transform healthcare worldwide through interdisciplinary engineering innovation and to train future leaders and innovators in