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on best practices and current developments in areas such as research software engineering, research data management, machine learning in the Leibniz Association, as well as at national and
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expertise in computational materials science, density functional theory, machine learning, etc. Ability to work within an interdisciplinary team of scientists, engineers, and students. Excellent knowledge
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knowledge in the field of machine learning, in particular deep neural networks Practical experience in the application of machine learning algorithms for both regression and classification problems Excellent
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Data, geodata) Data visualization, georeferencing and web mapping (e.g. D3.js, open source GIS, R, Shiny)Programming, testing and documentation (e.g. Python, R, Jupyter, git) Machine learning and
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possible. She/he will contribute to ifo’s main research topics with his/her independent research applying a combination of state-of-the-art machine learning and causal inference methods to innovative and