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Inria, the French national research institute for the digital sciences | Bures sur Yvette, le de France | France | about 16 hours ago
physical and mental stress during training and competition, which can hinder performance and threaten long-term health. Developing reliable, objective tools for stress assessment remains a major challenge
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work will be on reliability analysis and diagnostics of medium-voltage SiC MOSFETs, including the development of advanced test platforms for device and packaging evaluation. Key responsibilities include
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 1 hour ago
commonly integrated into NASA missions that have an atmospheric entry component, to facilitate post-flight analyses of the aerothermal environment. One widely used technique for this analysis is inverse heat
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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, electron and optical lithography, reactive ion etching, as well as surface treatment (ALD, CVD, …). Classical analysis via SEM, AFM, XPS, Raman will be required. Finally, quantum analysis is required in
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agencies as well as companies to help move the nation toward an economy based on reliable energy. The successful postdoctoral candidate will join a team of Argonne researchers and work closely with federal
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technologies, solar thermal integration, and system optimization. Responsibilities will include laboratory investigations, prototyping, field testing, and performance analysis of water harvesting systems across
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experimental research-based technology integration, modeling, control, and data-driven analysis and toolset development. Here is the chance to work in a pleasant team atmosphere, dive into research and at
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reliable, safe, and secure software systems, carrying out both upstream activities such as requirements quality assurance and architecture analysis, as well as downstream verification & validation activities
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programming, probability theory, and statistical analysis of large datasets using R or Python. A successful candidate should have a Ph.D. in Operations Research, Electrical Engineering, or Industrial