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algorithmic fairness Formulation of new problems and research directions and translating topical issues into algorithmic problems Designing new algorithms and investigating their performance on synthetic and
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algorithmic fairness Formulation of new problems and research directions and translating topical issues into algorithmic problems Designing new algorithms and investigating their performance on synthetic and
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work environment. We are seeking a part-time Research Assistant in computer vision and machine learning for human behavior analysis and modeling. The successful candidate will investigate new algorithms
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members Participate in traffic scenario generation project and pedestrian modeling project. Develop sophisticated AI-driven algorithms that create realistic, safety-critical test scenarios for autonomous
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philosophical research into the nature of mathematical understanding, including, depending on their interests, conducting psychological experiments, developing novel mathematics, inventing new algorithms, and
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psychological experiments, developing novel mathematics, inventing new algorithms, and making new philosophical arguments. Publish and share this research with the wider academic community. Help organize, once
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candidate will investigate new algorithms and models to develop, implement, and test multimodal machine learning algorithms to analyze and recognize multimodal human behavior in real world settings. Specific
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existing software to meet specific research needs. Maintain and extend existing applications and correct systems bugs. Test system upgrades. Maintain/update documentation. Analyze alternative algorithms, new
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and correct systems bugs. Test system upgrades. Maintain/update documentation. Analyze alternative algorithms, new routines and system changes and suggest program and/or system changes. Document new
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algorithms Preparation of manuscripts Flexibility, excellence, and passion are vital qualities within CMU. Inclusion, collaboration and cultural sensitivity are valued proficiencies at CMU. Therefore, we