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Learning with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains
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: The successful candidate must hold a completed diploma or master’s degree in mathematics Knowledge of and experience in computer algebra and algorithmic algebraic geometry International experience Enthusiasm
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of the analysis of in-situ experimental data in the field of non-destructive testing (digital image correlation, thermography and acoustic emission) development of algorithm-supported evaluation methods in
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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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international research and academic excellence. Ready to be part of our team? Let’s shape the future together! Your personal sphere of play: The position is based in the Department of Functional & Evolutionary
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sphere of play: The position is based in the Department of Functional & Evolutionary Ecology and will focus on studying coral responses to climate change in space and time. Both, tropical- and cold-water
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in applied research for digital security and is a pioneer in developing highly innovative concepts, algorithms and systems for anomaly detection, cyber threat intelligence, penetration testing and
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& Evolutionary Ecology and will focus on studying coral responses to climate change in space and time. Both, tropical- and cold-water coral reefs are threatened by ocean warming and acidification. In particular
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, understanding its underlying cognitive, emotional, social, cultural, physiological, and neurobiological bases, studying how the brain maintains or changes functionality over time, and probing its evolutionary