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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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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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aspects of quantitative data analysis: analysis of large/longitudinal datasets, latent variable modelling techniques, structural equation modelling – and strong motivation and curiosity to enlarge
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