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Field
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for aerodynamic design optimization of wind energy systems in complex urban environments. Information This research focuses on advancing cutting-edge aerodynamic design methodologies to significantly enhance wind
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program) and a symbolic solver computing the solution. Another example is the generation of surrogate model architectures for complex industrial systems: the generative component proposes models based
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are able to communicate model outcomes to different groups in society, and highlight impacts on water security, water justice, and food security. You are also familiar with complex simulation models and
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Today, companies across a wide range of industries face the challenge of managing increasingly complex stochastic systems, where uncertainty is inherent and data is abundant. These systems arise in
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, scientific machine learning (ML), wind energy, and advanced optimization? Join our team to develop cutting-edge solutions for aerodynamic design optimization of wind energy systems in complex urban
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investigate how linguistic information is represented, accessed and modelled. Your job The project aims to develop, implement and test a general model of memory that provides insight into how linguistic
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language models, deep learning, and information retrieval? The Information Retrieval Lab (IRLab) at the University of Amsterdam is looking for a postdoc researcher to join our research team and contribute
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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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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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We are hiring a postdoc to study how supply chains can stay resilient and meet regulatory demands, using system modeling and scenario analysis. Job description Supply chains are increasingly exposed