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material characterization methods Structured and analytical thinking as well as a systematic, careful, independent, and reliable working method Strong cooperation and communication skills and the ability
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. The aim is to evaluate and improve the long-term reliability of these materials for green hydrogen production. To achieve this, your responsibilities will include: Design and execution of experiments
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generalizability, reliability, and robustness. Prof. Li has authored over 40 papers in top-tier AI and machine learning conferences and journals. Ranked among the Top 50 researchers in “Spatiotemporal Data Mining
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, careful, independent, and reliable working method Strong cooperation and communication skills and the ability to work as part of a team Excellent written and spoken English skills Please note that only
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degree of independence and commitment Very reliable and conscientious style of working Please feel free to apply for the position even if you do not have all the required skills and knowledge. We may be
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, please contact Dr. Robert Georgii (robert.georgii@frm2.tum.de) or Prof. Dr. Skyler Degenkolb (degenkolb@physi.uni-heidelberg.de). The high safety standard of our facility requires the reliability
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in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content The Konrad Zuse School of Excellence in reliable AI (relAI) offers fully funded
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theory. While the GW method reliably describes photoelectric (main) peaks, it often fails to accurately capture satellite positions, which require more advanced techniques such as the cumulant approach (GW
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computational tools for predicting satellite features in XPS spectra of 2D framework materials. Your work will be based on the GW approximation within Green’s function theory. While the GW method reliably
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science and energy technologies Basic knowledge of artificial intelligence and data analysis methods Programming skills, ideally in Python Independent and analytical way of working Reliable and thorough