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. They will learn to design interpretable, legally robust AI systems, including attention-based deep learning models and reinforcement learning approaches that adapt lineup presentation in real time based
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sustainability. The selected researcher will contribute to the development of predictive models and machine learning algorithms for data analysis from plant-based sensors, multispectral and thermal imagery, and
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University of California San Francisco | San Francisco, California | United States | about 19 hours ago
bargaining agreement. The salary range for this position is $43.41 - $54.08 (Hourly Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 2 days ago
) the exploration of mixed-precision arithmetic in the context of high-order discontinuous discretization methods, and (2) the integration of machine learning techniques to complement and enhance traditional
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Skills :Programming, Research Knowledge :IA, Deep Learning, Python Where to apply Website https://rubis.univ-spn.fr/offres/voir/206 Requirements Specific Requirements Be a graduate of an Engineering
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Student Instructional Designer will use evidence-based practices to plan, design, develop, and support the delivery of professional learning experiences for cohort students. This professional will
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endowment in excess of $3.9 billion. Job Description Clinical Learning & Simulation Assistant - Temporary (RN) This position supports the Director of Clinical Learning and Simulation Centers in ensuring
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/A (Logic and Philosophy of Science), research project "Critical History of Deep Learning". DEADLINE: February 2nd 2026, AT 1:00 P.M. CET Where to apply Website https://www.unive.it/data/50068/?id=2026
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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of linguistic corpora, the development and use of Machine Learning and Artificial Intelligence models for the prediction, categorization, and automatic evaluation of pragmatic aspects of language, up