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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
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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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The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Interdisciplinary Centre for Security, Reliability and Trust
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in field conditions. The samples can now be processed and analysed. We are looking for a motivated intern to work on the processing of root samples. The intern will learn and use root analysis methods
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Institute for Climate and Sustainability as part of a broader research initiative on enabling the transition to a deeply decarbonized and reliable energy system. The Postdoctoral Fellow will work closely with
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The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Interdisciplinary Centre for Security, Reliability and Trust
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techniques, thermal mapping, power consumption analysis, electromagnetic emission patterns, etc. These measurements will be conducted in combination with an accelerated aging protocol. 3. Analysis of the trade
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, L. Estel, Analysis of thermal runaway events in French chemical industry, Journal of Loss Prevention in the Process Industries, 62 (2019) 103938. https://doi.org/10.1016/j.jlp.2019.103938 2. Y. Wang
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Application deadline: 30/04/2026 Research theme: Nuclear Engineering How to apply: https://uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded; home students are eligible to apply
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 5 hours ago
national and international projects like LUMI AI Factory and Czech AI Factory projects. Your role will involve developing innovative AI applications and agentic solutions, researching AI reliability and bias