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Together, these research directions seek to reimagine how buildings and cities operate—optimizing energy use, enhancing human well-being, and reducing carbon emissions at scale. We are seeking multiple
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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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or late patient, late provider, etc.). Acts as liaison between patient and practice staff to ensure optimal flow and service delivery. Supports HDC in event of operational emergency following protocols
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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