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Responsibilities (included, but not limited to) Lead complex projects and initiatives ensuring alignment with the school’s strategic priorities Support portfolio management efforts to optimize project selection
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levels, projection quality, and lighting to ensure optimal experience for local and remote audiences. Provide “in the moment” technical adjustments for issues encountered during live events using clear
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to update labs and optimize experiments; Creates/updates section materials to be used by Teaching Staff; Experiments with and implements new pedagogical approaches Assessment, Assignments, Problem Sets: Works
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at large to achieve optimal delivery of E&U services and efficient use of resources. Demonstrates and promotes the mission, vision, and values of the organization; providing stewardship, strategies, and
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. Troubleshoot imaging challenges and assist with image analysis as required. Meet with investigators to help design experiments, determine the appropriate technologies, and identify optimal workflows for a wide
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support. Deep understanding of modern machine learning architectures and optimization techniques. Proficiency in deep learning frameworks (PyTorch). Experience with Nvidia GPU stack and HPC technologies
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-based teaching practices to existing courses Ability to work independently to identify and implement optimal solutions to diverse problems Organizational, written and oral communication skills
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. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with
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seeking a highly motivated postdoctoral researcher to play a key role in optimizing the performance of the Rubin Observatory system. Our near-term goal is to optimize the performance of the Rubin
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for optimizing backlist metadata, revising outdated descriptive copy and adding reviews, to improve sales results. Pursue industry best practices in all areas where continued knowledge and expertise