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: You will study the effects of privacy-preserving machine learning on memorisation, fairness, interpretability and model uncertainty utilising techniques from information theory and quantitative
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of approximation and online algorithms, algorithmic game theory or algorithm engineering. The position is paid according to the German public salary scale TVL-13 and provides a competitive salary with standard
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/theory or a MSc degree in mathematics with a minor in computer science. The Position is for 2 years with the possibility of extension. The starting date is negotiable. We are interested in filling
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, please mention the code “2021-KF-01”). The applications are accepted until 25.11.2021. The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally
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the developed code Publishing the developed approaches in international journals and conferences Requirements Promising applicants have: A master’s degree in Computer Science, Geodesy, or related discipline Very
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systems with solid coding skills Mathematical background for modeling and analytics Openness for collaboration within our research group, inside the project, and beyond Curiosity and creativity