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from chem- and bioinformatics to computer vision and social network analysis. Machine learning with graphs aims at exploiting the potential of the growing amount of structured data in all these areas
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and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains from chem- and bioinformatics to computer vision and social network analysis. Machine learning with
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research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains from chem- and bioinformatics to computer vision and
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of fundamental quantum science questions. The main activities reach from quantum control of single photons using solid-state photon sources, integrated waveguide technology, tailored nonlinear media and detectors
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structured way Ability to work independently and as part of a team Flexibility, willingness to learn and travel Excellent command of written and spoken English Nice to have: Knowledge of academic processes and
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research methodology and present research findings in a structured way Ability to work independently and as part of a team Flexibility, willingness to learn and travel Excellent command of written and spoken
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, and workshops Supporting selected lectures and courses Supervising Bachelor’s theses aligned with your research Your Profile Excellent command of English (written and spoken) Proficiency in software