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learning, large-scale model optimization, and generalization. To explore scalable optimization methods for large-scale, distributed, and multi-node collaborative training. To conduct theoretical analysis
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political, social and economic developments in Africa, Asia, Latin America and the Middle East, and links this knowledge to questions of global significance. It combines region-specific analysis with
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/nanofabrication and materials characterization tools; computational multi-physics/electromagnetics modelling and eigenmode analysis for photonic crystals; terahertz/microwave far-field spectra measurements or near
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quantitative analysis to determine their pharmacological and sensory properties. A major strength of the project is its integration of molecular pharmacology with evolutionary and organismal biology. You will
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methods, data mining, and machine learning methods. Documented shell script, R, Python, and C programming skills. Documented experience in big data analysis and computational tool/package development
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agents for data analysis, and the design of interactive systems that keep human analysts in control of AI-assisted sensemaking. Responsibilities Conduct research on agentic visualization: generative AI
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with the Food and Drug Administration (FDA), Office of Commissioner (OC), Public Health Strategy and Analysis Staff (PHSA) located in Silver Spring, Maryland. The Oak Ridge Institute for Science and
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/nanofabrication and materials characterization tools; computational multi-physics/electromagnetics modelling and eigenmode analysis for photonic crystals; terahertz/microwave far-field spectra measurements or near
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Sciences, Business, or a related field, and have at least two year’s post-qualification experience. They should also have competency in qualitative and quantitative data analysis; strong proficiency in
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 24 hours ago
analysis, process documentation, and knowledge management approaches to strengthen understanding of how scientific and regulatory planning activities are developed, evaluated, and refined within a public