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on an important topic in a well-funded multi-disciplinary international training network. The training involves multiple activities, in addition to your research, and secondments across our partners. Overview
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coding background. You must hold a master’s degree in Computer Science, Electrical and Computer Engineering, Mathematics, or similar. Knowledge in machine learning is desired. We are looking for a driven
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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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. 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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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
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27.04.2021, Wissenschaftliches Personal The Chair of Computational Modeling and Simulation (CMS) at Technical University Munich invites applications for the position of a Research Assistant (m/f/d) for performing fundamental research in the frame of the project AI-CHECK funded by the...