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hypothesis that deep narrative structures in the datasets used to train generative AI models are replicated and perhaps exaggeratedin the output of generative AI, and that this could lead to culturally
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manages multiple projects of varying complexities. Based on expert technical knowledge, skills and experience, develop broad-based solutions involving multifaceted technologies, and business processes
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data and developing the algorithms and tools that enable the work of their team. Thus, the ideal candidate for this position must have a biological background, the ability to translate scientific
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duties include but are not limited to: Developing and refining algorithms and workflows for crop monitoring, modeling, prediction, and decision support and automation; Developing agriculture digital twin
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hardware and software Adapt algorithms for effective performance on neuromorphic hardware Knowledge in at least one area as a plus: deep learning hardware development memory technology Strong problem-solving
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Everyone is talking about artificial intelligence. But who is developing the necessary chips? We are, for example! Would you like to help drive the development of a new highly efficient AI hardware
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Everyone is talking about artificial intelligence. But who is developing the necessary chips? We are, for example! Would you like to help drive the development of a new highly efficient AI hardware
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solutions across teaching and research. The role involves designing and programming embedded systems, developing software interfaces, and providing support for a wide range of equipment and systems used in
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using learning-based algorithms Development of a simulation framework for stressor analysis and traffic equilibrium modeling Integration of predictive analytics and multi-agent reinforcement learning
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to train generative AI models are replicated and perhaps exaggeratedin the output of generative AI, and that this could lead to culturally specific narrative biases. Your role in the project will be