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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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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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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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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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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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What you’ll be doing In the Complex Dynamical Systems Group (Prof. Andreas Kugi) and in close cooperation with an internationally active, industrial research partner you will develop new methods
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Research Fields Chemistry, process technology, engineering, toxicology, life cycle analysis The Marie Skłodowska Curie Doctoral Network “DyeAnotherWay” is inviting applications for a 36 month full time fixed
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, molecular biology, process engineering The Marie Skłodowska Curie Doctoral Network “DyeAnotherWay” is inviting applications for a 36 month full time fixed term position as a Doctoral Candidate (DC). This
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methods from building physics, you will bridge the gap between room-scale dynamics and micro-environments of documentary heritage objects, translating complex simulation data into actionable conservation