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Field
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sampling-based and reinforcement learning-based motion planning algorithms for multiple robotic arms in automotive manufacturing, including testing, performance evaluation in both simulation and actual
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statistical analyses are needed. The incumbent will work closely with USC researcher teams to design analysis specifications, including input data specifications, data cleaning, algorithms, and interpretation
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transforming society by powering autonomous vehicles, providing strategic advantages through large-scale data analytics, and enabling intelligent applications across multiple domains. However, conventional von
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. The research involves the development of machine learning algorithms and MR pulse sequences for next-generation computational MRI. The research will be conducted at the Electrical and Computer Engineering and
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stimulating environment with some of the world?s top researchers and physicians. The qualified candidate will specifically focus on developing new algorithms for the analysis of epigenomic datasets derived from
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researcher in natural language processing and large language models to work with a team from multiple disciplines of machine learning and artificial intelligence to develop multimodal large language models
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: Artificial Intelligence, including but not limited to Machine Learning, Responsible AI, and Computer Vision; Theoretical Computer Science, including Algorithms, Algorithmic Fairness, Game Theory, and Learning
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comprehensive scheduling algorithms) and handle sensitive information with confidentiality. Ability to work independently on a wide variety of tasks – both simple and complex - with minimal supervision and
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networks, transformers, and diffusion models. Proven experience building AI solutions using classical ML algorithms such as decision trees, gradient boosting machines, and shallow neural networks
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. Proficient in multiple programming languages, especially Python, Java, C. Knowledge in software engineering, data structures & algorithms, computer organization/architecture, microcontroller programming