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well as an independent researcher. Our work is interdisciplinary, international, and in-depth, but also practical. We offer a possibility to obtain broad and profound expertise, both theory and practice, in the field
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researcher. Our work is interdisciplinary, international, and in-depth, but also practical. We offer the possibility to obtain broad and profound expertise, both theory and practice, in the field
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of Energy and Environmental Models starting immediately, in full-time. The doctoral position (scholarship) is part of the International Project Team OptiEnv, which is funded by the International Graduate
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systems on different temporal and spatial scales. For our Research Group Applied Optimization we are looking for a Research Associate / PhD: Physics-informed deep learning for PDE-constrained optimization
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of the Technical University of Munich. In our group, we advance ethical practice and theory in medicine, bio-medical technology, and public health, driven by the belief that embedding ethics is essential for shaping
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of AI. The ideal candidates will have a background in computer science, statistics, mathematics, or related fields, as well as an interest in social science research methods and theories. The PhD
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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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. The project focuses on developing information theory, coding schemes, and other algorithmic methods for DNA data storage. Here is a video on the topic: https://www.bbc.com/future/article/20151122-this-is-how
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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