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, system-level digital-twin framework connecting electrolyzer models with relevant Power-to-X components and energy-systema. Develop system-level optimization and energy-management methods for coordinating
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test an innovative experimental manipulation of impostorism recruit and manage participant samples across multiple countries and occupational groups analyse quantitative datasets publish findings in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 15 days ago
Benefits and Services click here Quick Link https://unc.peopleadmin.com/postings/324747 Posting Contact Information Department Contact Name and Title Victoria Fleming, Associate Director of HR and Engagement
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 15 days ago
approximately 600 PharmD students and 145 graduate students. The School has built a reputation for its continued pursuit of excellence, rigorous education and training programs, cutting-edge multidisciplinary
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teaching centers, working in the fields of materials and civil engineering (C2MA), the environment and risk (CREER), and artificial intelligence and industrial and digital engineering (CERIS). It has 12
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planetary atmospheres. The Section also initiates and manages a wide range of related modelling, software and hardware R&D activities. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s
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. We focus on the innate immune response to Mycobacterium tuberculosis (Mtb) infection as it is the leading cause of death from a single pathogen worldwide. Our goal is to understand the host response
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health center, Rutgers Biomedical and Health Sciences (RBHS) takes an integrated approach to educating students, providing clinical care, and conducting research, all with the goal of improving human
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nationally and internationally recognised research environments. What you’ll do: Make an effective and sustained contribution to the University in achieving its strategic objectives and fulfilling its
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experimentation in the area of Multi-agent Agentic AI systems applied to 6G network and service management. By leveraging recent advances in LLMs and agentic tools (MCP, LangChain, etc), the project will design