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software aspects of large-scale AI systems. Areas of interest may include, but are not limited to: • Advanced accelerator chip technologies, such as GPUs or other specialized chips for large-scale AI
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to the viscoelastic behavior of polymeric foams under large deformations dynamic loadings. The objective is to simulate, using the finite element method, the response of these porous microstructures under complex
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engineering models for large-scale quantum computers. The aim is for this thesis to develop fundamental expertise in quantum physics and computing, and then share it with other teams in the Q-loop project, so
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University of California San Francisco | San Francisco, California | United States | about 12 hours ago
: 88419BR Will gain experience in: * Building automated data pipelines between source departments and the enterprise data warehouse. * Working with large-scale HR and workforce data models in Scuba
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framework for the modeling of polymer nanocomposites under nonlinear elasticity at large deformations. The microstructure will be explicitly described at the microscopic scale through nonlinear micromechanics
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risks to the reliability and cost-effectiveness of hydropower-based energy systems in Africa, at a time of rapidly growing electricity demand and large-scale infrastructure investments. This research
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, Computer Science, Engineering and Genomics. Previous experience working with disease vector data is not essential and we encourage all applicants interested in large-scale data management, computational design and
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Description Are you excited about using large-scale AI to accelerate scientific discovery? Join a Horizon Europe project developing next-generation scientific foundation models that combine knowledge graphs
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- and city-scale digital twins within the newly launched Ubicquia Center for Intelligent Infrastructure (UCII). This Postdoctoral Fellow position is a 12-month appointment and has the potential
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Systems (GIS) and large-scale spatial and environmental pattern analysis. They will also be responsible for participating in soil sampling teams and in the design of large-scale monitoring networks. With