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/en/jobs/362630/postdoc-in-mv-power-converters-… Requirements Specific Requirements PhD in power electronics or any other relevant program. Ability to conduct high-quality academic research
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Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The Neurock group is currently looking to hire a postdoc in the area of computational
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Quantitative skills sufficient to logically analyze experimental data Knowledge of electronics sufficient to test instrumentation Ability to work as a member of a research team Required Qualifications PhD in
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and in computer architecture domains, our ability to analyze data still falls behind the unstoppable data collection rates. Data-intensive applications are increasingly more demanding in sophisticated
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related subject. Proven experience with X-ray imaging techniques, e.g. µCT, nanoCT, TXM or similar. Experience in computer programming for data analysis, e.g. Python. Demonstrated ability to work both
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on three main tasks. The first task is to perform centroid-moment tensor inversions for small (M < 1) induced events in the Groningen area, yielding valuable insight into the ability to invert waveforms
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Description We are now looking to appoint a postdoc in Soft Electronics, placed at the Department of Science and Technology, Campus Norrköping Research area The Laboratory of Organic Electronics (LOE, https
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University of Massachusetts Chan Medical School | Worcester, Massachusetts | United States | about 2 months ago
Application Instructions: Please email the following to Dr. Chan Zhou at [email protected] (subject line: “Postdoc Application – Your Name”): 1.Cover Letter: Summarize your research background, interests
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characterize inorganic compounds or materials using techniques such as X-ray diffraction, NMR spectroscopy, and electron microscopy. Analyse experimental data, interpret results, and contribute
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and adaptive control under uncertainty and non-stationarity. The postdoc will be responsible for proving theoretical guarantees (e.g., convergence, stability, or sample complexity) for control tasks in