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programming in Python, R, or similar languages Background in machine learning or deep learning methods, including Graph Neural Network (GNN) Experience with Large Language Models (LLMs) applied to
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disordered solids. Research experience linking local structure and defects to both lattice thermal transport and ion migration in solids. Strong scientific programming skills and experience with Linux-based
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science, consumer research, behavioural economics, complexity science, or another relevant field. Preferably, you have strong programming skills in at least one language used for computational
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affinity to computational tools and methods, and strong programming skills (e.g., Python and/or R). Familiarity with research on emotions, social norms, incivility, or political violence. High level of
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programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars. The department employs approx. 500 people from all over the world, and
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proficiency in English Assessment criteria and other qualifications: Experience in the Python programming language Experience in mounting micro-crystals Experience with experiments at synchrotron radiation