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University of California, San Francisco | San Francisco, California | United States | about 7 hours ago
the collective bargaining agreement. The salary range for this position is $133,700 - $313,300 (Annual Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https
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the start date Strong background in computational linguistics or deep learning Demonstrated interest in at least one of: language learning/acquisition, interpretability/mechanistic analysis, human-like
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000 individuals in UK. As part of a wider strategy to develop a deep human experimental medicines platform, this project aims to mainly focus on using novel human in vitro platforms using IBD gut stem
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.” As such, the Sanford School is committed to research that matters, teaching that empowers and inspires, deep engagement with the policy world, and to building a diverse and inclusive community
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data analysis. · Deep understanding of secondary education contexts, teacher practice, and adolescent development. · Knowledge of literacy education, social-emotional learning, culturally responsive
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Description The Cluster of Excellence ROOTS (Social, Environmental, and Cultural Connectivity in Past Societies) at Kiel University explores the deep history of tightly intertwined social and environmental
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. Responsibilities The successful candidate will: Demonstrate (1) a mastery of their specific discipline; (2) a deep commitment to the college mission of fostering student success, academic achievement, and
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environment where machine learning meets real-world scientific impact. What You’ll Do: Conduct cutting-edge research at the intersection of AI and science Develop large-scale deep learning models for scientific
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(pre-processing, filtering, feature extraction in the time, frequency, and time-frequency domains). Development and validation of machine learning and deep learning models; integration and analysis
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pillars such as Big Data Analytics and Management, Machine Learning and Optimization, AI for Data Science, Deep Learning, Generative Learning, Biometrics Processing, Natural Language Processing, Computer