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and either developing algorithms and data structures or using existing, underutilized results from the theoretical literature in system design. The postdoc is intended to work with closely with Minlan
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and either developing algorithms and data structures or using existing, underutilized results from the theoretical literature in system design. The postdoc is intended to work with closely with Minlan
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research team. Key research areas include: Development of low-carbon materials and tunable thermal energy storage materials integrated with smart sensors and advanced algorithms Creation of Digital Twins
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challenge meeting this requirement is the simultaneous need for low-power consumption. The main objective of the project is to develop a complete end-to-end high-performance DNN system for on-premise
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the cellular and molecular pathways disrupted in brain disorders such as schizophrenia and autism, by utilizing recent advances in genetics and genomics. We are developing and applying tools to understand how
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combine the operators above to fine-tune your results: +"artificial intelligence" algorithm +robot -machine → Shows results only if they include artificial intelligence (as an exact phrase) and robot, and
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An Innovation Fellowship is a crash course in DARPA's active portfolio management for science and technology development. Fellows push the limits of existing technology. They lead the rapid
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Details Title Postdoctoral Fellow in Biostatistics School Harvard T.H. Chan School of Public Health Department/Area Biostatistics Position Description This is a postdoctoral position developing
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fellow will work on projects in the areas of urban, spatial and development economics, which involve structural modeling and estimation and large-scale randomized experiments. This position will last for
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learning. The aim is to develop next-generation deep learning architectures that can be easily composed, adapted, and reused for various tasks. These architectures will be designed with principles