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on GPU clusters and cloud HPC/ADK Implement data-efficient fine-tuning, adaptive learning workflows and agentic frameworks for reasoning Collaborate with machine learning experts and computational
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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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a lecture-based and hands-on environment. Additional responsibilities include curriculum development, professional development, student academic advising and student
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understanding of prompt engineering. Experience with cloud-based AI/ML platforms (e.g., AWS SageMaker, Bedrock, or comparable). Familiarity with LLMs, agentic frameworks, and AI orchestration patterns (e.g
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the hospital based on need. Nurses who work in the Cedars-Sinai float pool can float between multiple areas. This position will focus primarily on our Medical Surgical, Telemetry, MSSU and Ortho Units PCU and
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, agent-based modeling, active transport modes mobility, and urban accessibility assessment models; c) In case the applicant is not a native speaker of Portuguese or English, they must have language skills
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Research Associate, Radiology and Imaging Services Posting Number req24239 Department Radiology & Imaging Sci Dept Department Website Link https://medicine.arizona.edu/ Location University of Arizona Health
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validation of innovative edible coatings made from accessible, sustainable, and renewable Mediterranean natural-based sources. Specifically, it addresses the use of Pickering emulsions as mediating agents
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and projects that align with the missions of WINGS and DOD. The position is based in Utica, NY. Job Responsibilities Conducting original research in collaboration with the PI and Co-PIs, and presenting
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code comments and appropriate documentation to various knowledge-based system(s) to simplify code maintenance and to improve the support. Testing & Documentation Create and document test scenarios using