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, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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engineering. The work involves simulations for quantum error correction and mid-circuit operations, and will require both low-level optimization skills (e.g., SIMD, GPU, FPGA) and an understanding of quantum
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technologies and metrological tools, networked and connected systems (e.g., IoT), optimization, and industrial analytics. Aid in the integration efforts aimed at creating a fully functional lights-out
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and ML driven screening and optimization workflow to improve the generality of modern synthetic methods. Our first objective is to identify structural patterns and scaffolds that are accessible by
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 15 days ago
wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts
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academiaOpportunities to work on innovative projects and network globally More information is available at: https://marie-sklodowska-curie-actions.ec.europa.eu/calls/msca-postdoctoral-fellowships-2026 Your role Your
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and statistics, machine learning, information theory, optimization, and algorithms, to better understand the behavior of markets and direct our trading. We also work together to continuously enhance
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description: Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use
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and compare/interpret field data Collaborate with mechanical design and manufacturing teams to develop solutions that optimize performance while ensuring manufacturability Summarize key findings