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simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling Large-scale computing, cloud-native analytics workflows, and data engineering for mobility platforms AI/ML
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research projects. Developing innovative methodologies for analyzing massive datasets in both cloud-based and on-premises environments, including experience in building agentic AI tools that integrate
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modeling and coordination of interdependent infrastructure systems and their subsystems (such as networks of transportation, gas, electricity grid), multi-agent reinforcement learning for distributed
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multi-agent pathfinding (MAPF) algorithms - Experience across multiple areas is a strong plus; Experience developing ML-based optimization approaches is a strong plus; A strong publication track record is
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
the assessment of risks pertaining to infectious agents and biological toxins; reviews research proposals to protect environment, health and safety; trains laboratory personnel in biosafety principles; addresses
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the United States, and around the globe. The GHRC supports and advances multi-disciplinary large animal and insect vector research, education, and training opportunities for faculty at Texas A&M and their partners
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Jobs from This Employer https://main.hercjobs.org/jobs/21796038/front-desk-agent Return to Search Results
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to manage workflows, resolve conflicts, and support agents in a fast-paced environment. Preferred Qualifications Experience supporting or managing within a multi-tiered service center model. Familiarity with
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workflows, resolve conflicts, and support agents in a fast-paced environment. Preferred Qualifications Experience supporting or managing within a multi-tiered service center model. Familiarity with HCM
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on developing new stable organic radical polarizing agents for nuclear spin hyperpolarization in NMR spectroscopy and imaging applications. Project Overview: This research aims to leverage radical dynamics