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generating human language in both written and spoken forms. We are seeking a Postdoctoral Research Associate. This position conducts a broad range of activities in the development and analysis of commercial
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the development of microfabricated devices and integrated measurement systems from concept through validated laboratory demonstration for an exciting project on microneedle-array-based diagnostics. In this role
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develop novel methodologies that advance the state-of-the-art in autonomous vehicle technology while ensuring research outcomes are reproducible, well-documented, and aligned with safety-critical system
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develop novel methodologies that advance the state-of-the-art in autonomous vehicle technology while ensuring research outcomes are reproducible, well-documented, and aligned with safety-critical system
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Department of Carnegie Mellon University has an exciting opportunity for a Postdoctoral Fellow. The SAT4Math project is developing solver technology that makes advanced SAT-based reasoning broadly accessible
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for musicunderstanding and controllable generation. This position would involve a mixture of fundamental research in generativeAI, as well as development of real-world applied tools that integrate AI methods to change
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University is looking for postdoctoral candidates. Our lab's drive is to discover "biological laws" that can help us understand living systems in a quantitatively precise way. Toward this goal, we develop
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that records at least one million interactions between teachers and students. These new data will advance the science of instruction, provide important data for technologists developing AI tools, and allow
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Responsibilities Include: Develop computational methods for inference and control that improve the reliable and efficient operation of autonomous agents in complex, uncertain environments. Modeling dynamical systems
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for the Pitkow Lab. Core Responsibilities Include: Develop computational methods for inference and control that improve the reliable and efficient operation of autonomous agents in complex, uncertain environments