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enable successful individualized cancer therapy planning. Contemporary AI-based approaches show great promise to advance this research frontier. This project is a key part of our broader initiative
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. At the Division of Systems and Control , we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and
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UNIX filesystems from the command line, working in conda environment, installation and implementation of packages from github, batch job submissions in clusters Further details The position is funded
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