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brings together methodologists (from areas like statistics, computer science or formal demography) with population scientists in order to foster cross-pollination of ideas, to advance methods and theories
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and
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intelligence and perception. Its three central innovation sectors are the future of health, the future of work, the future of the environment, and the future of mobility. 70 professors from various TUM faculties
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of health, the future of work, and the future of mobility. More than 50 professors from various TUM faculties cooperate within the framework of MSRM. The research focus of RSI is the development of control
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of the project is to develop and apply bioinformatic tools for the analysis of high-dimensional immunological data sets. Our laboratory (Zielinski lab) focusses on human T cell regulation in health and disease. We