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dynamics; Explainable AI: With a particular emphasis on mechanistic interpretability. Invent, evaluate, and publish novel algorithms, aiming for theoretical guarantees when working with structured and
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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 from
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experience in microbiome research sequencing is preferred. Experience with statistical analysis and data visualization, and with using a computational cluster including job scheduling is required. A strong
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scheduling. You publish internationally and give lectures. You apply for projects and raise third-party funds. You prepare and complete a publication-ready habilitation. You hold courses independelty within
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about the completion status of each chapter, and a work schedule for the completion of the doctoral thesis (no more than 4 pages including a list of references, font size of 11pt, 1.5 line spacing
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sample (e.g. article, MA thesis chapter) Copy of Master Degree / Diploma and transcripts of all university degrees We will conduct interviews with short-listed candidates (interviews currently scheduled
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the other NMR centers at the University of Vienna, with responsibility for personnel, scheduling, and budget management. User and research support: Maintain and develop relations with internal and external
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than the indicated application deadline (26.02.2026). The candidates selected for interview will be notified by 02.03.206. We aim to schedule the interviews (in person or over zoom) in the same week. The