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analysis, NLP and with labor market and skills datasets such as LightCast or O*NET is preferred. Requirement: Successful Background check Additional Information: Funding: This is a grant-funded, soft-money
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for this opportunity. Relevant knowledge, skills, and abilities include: Software development skills in Rust. Classroom-level experience with NLP and ML tools. Ideal candidate would also have: Taken a secure coding
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or take over sponsorship of an employment visa for this opportunity. Relevant knowledge, skills, and abilities include: Software development skills in Rust. Classroom-level experience with NLP and ML tools
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or take over sponsorship of an employment visa for this opportunity. Relevant knowledge, skills, and abilities include: Software development skills in Rust. Classroom-level experience with NLP and ML tools
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qualitative research methods to empirically study a research question. Research background in applied ML, natural language processing (NLP), or data science. Demonstrated teaching experience of technical
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detection, supervised learning, weak learning, NLP, video and image processing, deep learning (including GANs, autoencoders, etc.), trustworthy AI, and many others. Background of the Auton Lab The Auton Lab
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including time series analytics and forecasting, anomaly detection, supervised learning, weak learning, NLP, video and image processing, deep learning (including GANs, autoencoders, etc.), trustworthy AI, and
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analytics and forecasting, anomaly detection, supervised learning, weak learning, NLP, video and image processing, deep learning (including GANs, autoencoders, etc.), trustworthy AI, and many others