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network of life science groups. We offer a multifaceted scientific project with excellent technical facilities, as well as strong scientific collaborations. Salary is paid according to German TV-L (E13
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models and neural networks that handle the many challenges of integrating such complex medical data sources on large-scale studies and the translation to clinical practice. Qualifications PhD in (Bio
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nanostructures and networks. These systems will have tunable chemical and photophysical properties for the translational development of platform technologies in the advanced materials sciences. This is a highly
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focus on deep networks for solving inverse problems, learning robust models from few and noisy samples, and DNA data storage. The position is in the area of machine learning, with a focus on deep learning
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of buildings and built infrastructure, is thus the focus of the Institute. The Nemetschek Innovation Foundation supports the Institute, and TUM embeds it in its large network of data-centered sciences
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network with partners from science and industry and take on responsibility at the chair right from the start. In your role as a post-doc, you will combine team and institute-oriented tasks with in-depth
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: - QUANTITATIVE VERIFICATION: analysis of probabilistic systems (Markov decision processes, stochastic games, chemical reaction networks), automata theory and temporal logic, machine learning in verification
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pages or friendships between users in a social network. Due to the large variety in data science tasks performed with graph-structured data, different specialized systems have been developed, such as
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scientists of the Futurelab offers an outstanding opportunity for networking and the development of followup projects. The position will be remunerated between W1 and W3 equivalent according to your
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(ML4Earth). AI methods, and especially machine learning (ML) with deep neural networks have replaced traditional data analysis methods in recent years. The Technical University of Munich (TUM), together