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and society. Our 7 centers specialise in the research and development of infrastructure solutions of the future, for e.g. digitisation, decarbonisation, smart cities, network security, intelligent
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Participation: Engage actively in both national and international conferences, presenting research findings and networking with peers in the scientific community. International Research Collaborations
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leading scientists across Austria in an interdisciplinary environment spanning explainable AI, causality, knowledge representation, and neural networks. Research (90%) research in probabilistic machine
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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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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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economics Knowledge and/ or experience in one (or more) of the following areas (desirable) - Net-zero transformation - Energy economics - Hard-to-abate industries - Institutional economics or industrial
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Mycoparasitism group” in the Department of Microbiology at the University of Innsbruck is looking for a PhD candidate to work on a new project focusing on nutrient signaling and mycoparasitism in Trichoderma
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on the analysis of neuronal networks in the Drosophila brain, and the Hummel team currently consists of postdocs, pre-docs, master students and administrative colleagues who share a common interest in the function
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research focuses on the analysis of neuronal networks in the Drosophila brain, and the Hummel team currently consists of postdocs, pre-docs, master students and administrative colleagues who share a common