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of AI models and HPC applications, focusing on GPU-enabled computing. Implement parallel processing, distributed computing, and resource management techniques for efficient job execution. Integration and
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environments, token-based data-access infrastructures, and next-generation HTTP/S caching technologies. The Lab also maintains the ATLAS distributed analytics and AI-assisted observability and operations
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remains an active subject-matter expert in HPC frameworks, distributed computing, AI-accelerated software stacks, and large-scale workflow orchestration. The role supports faculty, research staff, and
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to take a full range of routine and complex digital intraoral and extraoral radiographs, including periapical, bitewing, panoramic, occlusal, and lateral images, and cone beam computed tomography scans. Aid
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 25 days ago
and Experience: Distributed parallel training and parameter-efficient tuning. Familiarity with multi-modal foundation models, HITL techniques, and prompt engineering. Experience with LLM fine-tuning
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the Computer Science program at New York University Abu Dhabi, seeks to recruit a research assistant to work on the intersection of compilers and deep learning. Many companies, such as Google, Facebook, and Amazon
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computers (e.g., parallelizing and distributing code). Experience in distributed data management and workflow systems. Preferred Competencies Ability to build systems where agents operate with independence
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the state. In partnership with UC San Francisco, UC Merced has launched a rigorous medical education program that will supply the Valley with culturally competent providers dedicated to improving local access
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University of California, San Francisco | San Francisco, California | United States | about 2 hours ago
on of effective approaches. This specialist may be required to utilize the elasticity of the AWS Cloud for Big Data Intensive (e.g. Hadoop/Spark) compute infrastructure and parallel system environment
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programming; Experience programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or