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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
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susceptible steel structures. Thus, the candidate will develop reliable machine learning-based surrogate models to replace expensive phase field models to simulate failure because of HE. The activities will be
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journals is desired Ability to work reliably and collaboratively in a scientific research setting Strong command of spoken and written English; German language skills are a plus. We offer Involvement in a
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operating systems Structured and analytical thinking as well as a systematic, careful, independent, and reliable working method Interest in working closely with experimentalists Strong cooperation and
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system modeling is beneficial but not mandatory First programming skills, ideally in Python Independent and analytical way of working Reliable and conscientious working style Fluent written and spoken
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of working Reliable and conscientious working style Fluent written and spoken English; German language skills are advantageous Please also apply if you do not yet have all the required skills and knowledge. We
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languages, artificial intelligence, and security, with a focus on tools and techniques for constructing reliable, efficient, and secure software. General areas of research include: Artificial intelligence
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an immediate vacancy for a research assistant (m/f/d) (TV-L E 13) in the field of Reliable (Safe and Protected) Autonomous Driving in Clausthal-Zellerfeld, initially for a period of up to 3 years on a full-time