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hardware. As part of our team, you will perform research to develop new scalable quantum simulation algorithms, based on multi-linear representation theory, and apply them to real world applications spanning
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) for algorithm development, control design, and data analysis. Confidence and interest in testing and iterating technology together with patients, in the lab and in the clinic. Excellent organizational and
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wearable-sensor (IMU) data and human motion analysis. Solid programming skills (ideally, in Python) for algorithm development, control design, and data analysis. Confidence and interest in testing and
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prior experience in large-scale calculations using CFD Strong skills in CFD for complex geometries, and parallel computing Development of advanced algorithms for problems involving very large mesh (tens
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machine learning. It focuses 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
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learning and quantum information science. Candidates with experience in method development and high-performance computing are especially encouraged to apply. A Ph.D. in chemistry, physics, computer science
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sensitivity analyses across pathology severity, body morphology, camera viewpoint, and environmental conditions Develop a single-camera, home-based markerless system Test the algorithm across lab and home
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the supervision of Dr. Jun Xu Develop high-quality models, algorithms, experiments, or integrated modeling-characterization frameworks Publish first-author papers in leading peer-reviewed journals Contribute
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curious to deliver work that matters, your journey starts here! The Civil and Environmental Engineering Department at Carnegie Mellon offers a unique interdisciplinary program that enables you to develop
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vision, and/or synthetic data generation for model training. Solid programming skills (e.g., Python) for algorithm development, data analysis, and computational modeling. Experience with, or affinity