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Postdoctoral Research Associate — Computational Analysis of Data Center Impacts on Communities and the Electric Grid Co-Advised by Prof. Negin Alemazkoor and Prof. Lisa Colosi-Peterson The Civil and
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 05, le de France | France | 8 days ago
outcomes include the development of more powerful analytical tools for the analysis of complex mixtures, improved isomer discrimination, and rapid and reliable quantification methods for contaminants in
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analysis pipelines and contribute to their development to enable reliable insights using heterogeneous data sources. You will work with sequencing data and corresponding metadata as well as with data from
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of identifying and quantifying gas concentrations with high sensitivity, precision, and measurement reliability. Sensitivity and selectivity are significant challenges for achieving quantitative analysis of each
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
inference and feature selection * Generative modeling and digital twins * Reliability and interpretability of ML methods The postdoctoral researcher will be responsible for teaching at most one class per
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collection and analysis systems. Deploy prototypes in the field and optimize their performance based on feedback. Guarantee the reliability, security and scalability of the IoT solutions developed. Work
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requirements, regulations, and their impact on fiscal operations. Functions with a high degree of autonomy on complex issues. Performs in-depth analysis of processes, makes recommendations to improve processes
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synaptic resilience and the reliability of synaptic responses. The work primarily involves mathematical modeling and numerical simulation, but also the analysis of experimental datasets for model validation
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to incorporate pre-existing public preferences external to the MCDM stakeholders - Review and assess how the quality and reliability of public preferences can be addressed - Design new or adapted MCDM protocol
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NIST only participates in the February and August reviews. The Materials Reliability Division at NIST houses one of the nation’s leading laboratories for testing the reliability of structural