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Field
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researcher to develop time-resolved imaging methods and apply them to semiconductor reliability problems. This is one of two postdoctoral positions opening in the group. This position focuses on time-resolved
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; - scientific curiosity; - high motivation and enthusiasm, as well as independence and reliability; - ability to work effectively as part of a team; - fluency in written and spoken English. The doctoral degree
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of traditional computers and sensors with intrinsically quantum, molecule-based devices that are energy efficient as well as fast and adaptive. In this setting, reliable, swift, all-electron calculations
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investigates how electricity markets must be designed, and how demand-side flexibility must be mobilised, for a power system dominated by variable renewable generation to remain reliable and affordable
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Bring physics into world models — and make embodied agents fast, reliable and ready for the real world! Join us! World models are controllable, physics- and mechanism-grounded simulators of reality
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interdisciplinary character. The Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and
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Postdoctoral researcher (17 months): Ethics and Epistemology of LLMs4EU: Design, Data and Deployment
values (i.e., privacy, non-discrimination, robustness in legal, ethical and technical terms, mitigation of possible bias, reliability and trustworthiness, interpretability and explainability, security and
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reliability of data, designing and writing programs to perform analyses, and producing written reports on the result of the analyses. Write research results for publication (i.e. Clearly summarize data
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to the research agenda of the SHIELD project. SHIELD investigates advanced methods for improving the awareness, reliability, and responsiveness of future connected systems operating in complex urban environments
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National Energy Technology Laboratory (NETL) | Albany, New York | United States | about 23 hours ago
will engage in multiscale modeling and machine learning to develop reliable, efficient framework for predicting long-term creep and fatigue behaviors of heat-resistant structural alloys considering