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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. TUD has established the Collaborative
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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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methods is an advantage High motivation and initiative Ability to communicate and carry out work in an interdisciplinary research team (radiochemistry, biochemistry, biology, chemistry, medicine
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in Germany. It offers a modern, interdisciplinary, and
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to obtain your own academic qualification as part of a doctorate is given. Your profile: An excellent MSc degree (or equivalent) in biochemistry, chemistry, biology, computational science, bioinformatics
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in Germany. It offers a modern, interdisciplinary, and
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welcomes applications from individuals with a master’s degree in the following fields: Computer Science Mathematics Natural or engineering sciences or an equivalent degree, interested in High-Performance
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Mathematics, Technomathematics, Computer Science, Engineering Informatics, Theoretical Computer Science, Physics Description Description The research group Cyber-Physical Systems of Prof. Matthias Althoff
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Description The Institute of Systems Biotechnology (Director: Prof. Dr. Christoph Wittmann) stands for excellent research at the interface of biotechnology, systems biology, and sustainable resource
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model complexes. This research is part of a large, funded collaborative project supported by the Swiss National Science Foundation, involving partner researchers based in Germany, Switzerland, and France