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Field
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University of California, San Francisco | San Francisco, California | United States | about 14 hours ago
. This specialist assists in creating pipelines and configurations on a Linux-based distributed file system for Very Large health data, premise-hosted as well as public cloud based. Such data will be clinical
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in real-world settings; algorithmic accountability, bias/fairness, data justice; Indigenous data sovereignty; global and cross-cultural perspectives) AI Literacy, Pedagogy, and Instructional Design (AI
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; conversational systems; knowledge organization) Human-Centered, Participatory, and Ethical AI (co-design with communities; evaluation in real-world settings; algorithmic accountability, bias/fairness, data justice
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following department/specialty algorithms, the Scheduler critically evaluates the nature and urgency of scheduling requests to provide comprehensive clinical ambulatory scheduling for providers within
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
, and medicine. Key Responsibilities Collaborate with researchers to design, develop, and refine large language and generative models. Develop novel algorithms for generative modeling tasks and optimize
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algorithms, capable of distributed learning on high performance and edge computing; The design of architectures/models which accurately capture the complexities of the data, with robust estimates of confidence
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management, cache optimization, and vectorization techniques. Strong understanding of algorithms and data structures, especially those suitable for parallel processing and distributed computing. Understanding
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contact, as identified by AFRL through recent past efforts. This includes the implementation of relevant algorithms and solvers for distributed GPU computing within the JAX Python library. Qualifications
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Packages/Procedures: Update, review, manage, and run daily, monthly, and quarterly reporting packages, with a keen eye on data quality and robustness, and distribute them to relevant parties within
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Apply advanced data mining, statistical modeling, graph algorithms, and machine learning to extract insights from large structured and unstructured datasets Mentor junior data scientists and analysts