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efficiency (EE) and broader ESG-related information by lending institutions. By enhancing the availability, comparability, and reliability of such data, it contributes to compliance with the reporting
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requirements and stringent power constraints are an explicit focus point of the group. NES-Lab focusses on design, analysis, and optimization of reliable and low-power embedded networks as a main building block
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DI NR. 1 “CONTRATTO DI RICERCA”, AI SENSI DELL'ART. 22 DELLA LEGGE 30 DICEMBRE 2010 N. 240, NELL’AMBITO DELLE ATTIVITÀ DEL PROGETTO “EXTRASAVE EXPLAINABLE, TRUSTWORTHY, RELIABLE AI FOR SAFETY ANALYSIS
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judgment, prioritizing work effectively, and maintaining accountability while supporting reliable, high‑quality outcomes. Advanced skill in statistical analysis and presenting complex data in clear, concise
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data, performing in-depth analysis, and developing innovative solutions. Along with asset reliability analysis, this position strives to incorporate best practice for general/non-asset related
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knowledge in reliability analysis. Strong knowledge of HV and LV power systems and protection Experience with power system analysis tools Strong safety mindset and clear technical communication skills Where
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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 | 4 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