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are highly desirable. For the quantitative position, the applicant must have a PhD in computer science, statistics, or related field. Experience with empirical studies of software artifacts and social network
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curious to deliver work that matters, your journey starts here! The Biomedical Engineering (BME) Department at Carnegie Mellon University is renowned for its interdisciplinary approach to solving complex
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curious to deliver work that matters, your journey starts here! The Biomedical Engineering (BME) Department at Carnegie Mellon University is renowned for its interdisciplinary approach to solving complex
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curious to deliver work that matters, your journey starts here! The Biomedical Engineering (BME) Department at Carnegie Mellon University is renowned for its interdisciplinary approach to solving complex
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. Active research thrusts within the AiPEX lab include AI for complex physics-based modeling and simulation, AI for enhancing human performance and decision making, AI for advancing personalized learning
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curriculum development; Experience managing, analyzing, or working with complex research data; Understanding of computational reproducibility best practices; Experience with one or more programming languages
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on developing innovative algorithms and models to address complex problems in diverse fields such as robotics, healthcare, and finance. The department offers a range of undergraduate and graduate programs
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on developing innovative algorithms and models to address complex problems in diverse fields such as robotics, healthcare, and finance. The department offers a range of undergraduate and graduate programs
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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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curious to deliver work that matters, your journey starts here! Innovation. Interdisciplinary collaboration. Complex problem solving. In Carnegie Mellon University’s Department of Mechanical Engineering