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AI and related areas such as large language models (LLMs), prompt engineering, and machine learning. You are proactive about staying current in a rapidly evolving field. Rather than waiting for trends
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | about 4 hours ago
traditional predictive attempts and limits the availability of training data for high-resolution atmospheric and hydrological models. This limitation is compounded by the fact that many atmospheric reanalysis
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/10.1007/s11142-024-09822-y . He, L.- Y., Wang, L. (2025). Can artificial intelligence curb greenwashing? Firm-level evidence based on large language model. Energy Economics, 152, 108954. https://doi.org
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companies' transitions towards a sustainable society. In research and education, we work in a broad spectrum. From basic mechanical engineering via modelling and simulation towards innovative product-service
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 23 days ago
the 21st century whether the focus is cancer, energy, economics or literature Connections working at Massachusetts Institute of Technology (MIT) More Jobs from This Employer https://main.hercjobs.org/jobs
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, gene editing, medicinal chemistry, and DNA-encoded library (DEL) technology, among others. For detailed information, please visit us at https://siais.shanghaitech.edu.cn/ . Join Our Institute: Faculty
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patients requiring urgent or emergent intervention. The fellowship provides comprehensive training in data engineering, exploratory analysis, statistical modeling, machine learning, and artificial
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uncertainty factors originating from IoE devices and system dynamics, combining data-driven learning with knowledge-based modelling techniques. The developed methods will be evaluated in representative energy
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. Are you interested in tackling these challenges with cutting-edge AI sensing techniques? At the AISensing team we focus on AI-powered sensing technology, spanning large-scale AI models, simulation of next
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for converged Wireless-opTical cOnfiguratioNs”. The research will cover three key pillars: Artificial-Intelligence (AI)-driven models in the access domain, focusing on CF technology to efficiently acquire Channel