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the emphasis on ab initio methods • Research expertise of several years (during PhD time) with measurable output in peer-reviewed publications. Ideally, the theoretical methods in your command align with
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theoretical and practical experience with machine learning methods, especially for training of machine learning potentials - development and utilization of ab initio electronic-structure methodology - previous
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. Requirements: Completed PhD in one of the participating disciplines of the IRTG Desirable: an outstanding completed PhD in one of the participating disciplines, preferably cultural and social anthropology
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part of the ERC project DYONCON. You will work in a multidisciplinary and international environment, in close collaboration with the group and our external partners. Requirements: PhD and Master's degree