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reliability Computational Neuroscience Scientific communication Excellent command of English Experience in human data analysis (psychophysics and EEG/MEG specifically) Python Where to apply E-mail laura.dugue@u
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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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or prototyping, o performance analysis (latency, reliability, efficiency). Application To apply for this position, please send a detailed application including a cover letter, an up-to date CV, transcripts of
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee The position is based at the School
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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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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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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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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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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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responsible for data cleaning, analysis, programming, and co-authoring papers on the causes of IPV in the EU, the US, and Asia. The successful applicants will join a team producing cutting-edge research