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during the grant is the design and implementation of a SQL-to-eBPF compiler that allows querying and correlating information about the state of the operating system. The work also aims at the optimization
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. This transition is fundamentally reshaping the structure of energy networks, shifting from centralized control to distributed, prosumer-driven ecosystems where interconnected multi-agents interact strategically in
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industry. In this project, you will develop game-theoretic AI frameworks by integrating Data-driven intelligence with principled decision structure for multi-agent decision making in energy systems. In
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techniques. You will have the opportunity to participate in various projects utilizing artificial intelligence (AI) and machine learning (ML) to develop applications that optimize combat casualty care
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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | about 21 hours ago
consumer confidence in devices marketed in the U.S. Research Project: To optimize Total Product Life Cycle (TPLC) oversight, strategic structure in categorization needs to be developed and implemented
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Fellow will be responsible for: Conduct in-depth research on flexible seawall design and construction, considering durability, environmental impact, and cost-effectiveness. Conduct laboratory experiments
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Siri Pedersen 9th August 2026 Languages English Norsk Bokmål English English PhD Fellowship in Data-Driven Optimization of Multi-Energy Systems Apply for this job See advertisement Job description
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with experimental and clinical teams to interpret results and translate findings into actionable insights. Design and optimize predictive models of drug response, including the use of digital twin
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, process optimization and food characterization. Key Responsibilities Lead bench formulation of mushroom‑based and plant‑based food products, especially focusing on muscle‑like architectures to achieve
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and apply advanced methods in automated treatment planning, artificial intelligence, adaptive treatment delivery, and clinical workflow optimization to improve both the quality and efficiency