7 algorithm-"Multiple"-"Prof"-"U"-"Simons-Foundation" positions at Carnegie Mellon University
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research topics for human behavior using one or multiple cameras will focus on the design of efficient perceptual algorithms for behavioral cue extraction and novel approaches for the modeling people
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and understanding human behavior from video. Specific research topics for human behavior using one or multiple cameras will focus on the design of efficient perceptual algorithms for behavioral cue
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multiple priorities and a multi-disciplinary environment. Qualifications: Minimum Bachelor's Degree in Machine Learning, Data Science, or Statistics, or another field of science or engineering with relevant
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multiple priorities and a multi-disciplinary environment. Qualifications: Minimum Bachelor’s Degree in Machine Learning, Data Science, or Statistics, or another field of science or engineering with relevant
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Department (MLD) at CMU is a leading hub for research and education in artificial intelligence and machine learning. It focuses on developing innovative algorithms and models to address sophisticated problems
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progress in machine learning and artificial intelligence, the successful candidate will have primary responsibility to develop, implement, and test multimodal machine learning algorithms to analyze and
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aggressive vehicle maneuvers Embedded systems and real time applications Constructing GPU-based data processing pipelines for senor data Familiarity with image and point cloud processing algorithms Why NREC