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Field
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with large-scale genomic, epigenomic, and transcriptomic data Contributing to genome assembly and comparative genomics analyses Collaborating with internal and external partners, including consortium
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thermoreflectance optical pump-probe thermal-property measurement methods, develop and refine instrumentation, optimize protocols, and provide thermal property data for thin-film and multilayer materials that can
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command of data wrangling, cleaning, and large-scale dataset management. Machine Learning/Deep Learning: Experience with PyTorch, TensorFlow, or Hugging Face; embedding models; and model validation
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and provide relevant information to inform NIST management and stakeholders - Maintain deep technical knowledge of advances in the application of artificial intelligence and machine learning
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will work on the NIST campus in Gaithersburg, Maryland, within the Quantum Information Groups (QIG) Quantum Communication and Networking Project, and work with experts at NIST in the field of quantum
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facilities include a low-energy neutron source (LENS) available for neutron detector development and testing, high-bay facilities for large-scale fabrication, professional and student machine shops, a
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large administrative or claims data (e.g., Medicaid, commercial claims, or similar) Clear scientific writing and communication; a track record of publications Special Instructions Please include: · CV
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 7 days ago
computing infrastructure for OGD. DQMM is also developing innovative quantitative approaches to improve regulatory decision making for generic drugs by fully utilizing the large amount of data available
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electron spin resonance. For more information about the group, see: https://www.nist.gov/pml/nanoscale-device-characterization-division/nanoscale-processes-and-measurements-group/scanning . U.S. Citizen
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activities will likely include, but are not limited to: Use of large language models and AI techniques to support data collection, synthesis, analysis, and construction of a modeling platform for key resource