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a postdoctoral associate to develop methods and metrics for evaluating how consultation with large language models affects analytical work products and team interaction patterns in complex information
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foundation models for synthetic data generation: Time Series Foundation Models, Variational Autoencoders, Generative Adversarial Networks, and Large Language Models (LLMs, TSFMs, VAEs, GANs). Design
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the spatial reasoning capabilities of multi-mode large language models and hybrid AI systems combining artificial neural networks with symbolic AI. In-house research and development of one of these systems
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the spatial reasoning capabilities of multi-mode large language models and hybrid AI systems combining artificial neural networks with symbolic AI. In-house research and development of one of these systems
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) are looking to hire a post-doctoral associate to carry out joint research in resilience of neural networks, including large language models (LLMs) and other generative AI systems and foundation models
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structure-preserving discretization algorithms (a refinement of finite-element analysis compatible with exact geometric, topological, and physical constraints) with artificial neural networks for achieving