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methodologies and tools for economic and ecological analyses of hydropower systems. The position will involve the development and use of computer models, simulations, algorithms, databases, economic models, and
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Are you interested in cutting-edge research at the intersection of large language models, deep learning, and information retrieval? The Information Retrieval Lab (IRLab) at the University
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include high-dimensional approximation, closure models, machine learning models, hybrid methods, structure preserving methods, and iterative solvers. Successful applications will work in applications
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delivery systems. The Post-doctoral fellow will play a central role in executing the research plan, from in vitro mechanistic studies to in vivo disease models, with the goal of identifying and validating
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on the context. To tackle this challenge, we are seeking a postdoctoral researcher with expertise in speech signal processing, optimization, machine learning, and models of hearing and perception. This is a full
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study programmes to match the skills in demand. We hope that you will help us to build the sustainable companies and societies of the future. Subject description The research subject focuses on
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
research interest is to develop adeno-associated virus (AAV) vectors to treat various diseases such as neurodegeneration disorders and liver diseases using animal and other research models, and to study the
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resilient and meet regulatory demands, using system modeling and scenario analysis. Job description Supply chains are increasingly exposed to complex and overlapping pressures. Climate change, geopolitical
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optimiser that accelerates both workflow efficiency and materials discovery. Main Tasks and responsibilities: AI4LSQUANT aims to accelerate quantum modelling by learning fast, accurate surrogates
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
: 277494287 Position: Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning Description: The Atmospheric and Oceanic Sciences Program at Princeton University, in