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for theoretical guarantees when working with structured and unstructured data. Pursue and complete a PhD thesis within the appointed 4-year duration. Join the Vienna Doctoral School of Computer Science and conclude
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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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the framework of a structured PhD call at Medical University of Vienna. PhD candidates are employed as scientific staff with salaries within a research group and work on a defined research project within a
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for membrane biophysics and drug‑delivery research. While conventional small‑angle scattering (SANS/SAXS) provides exquisite nanoscopic structural detail, it rarely captures the crucial mesoscale dynamics
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management and innovation Committed, flexible, self-reliant personality with a structured way of working Ability to communicate and work in a team Very good knowledge of German and English, both written and
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communication skills, goal orientation, structured, and responsible way of working Very good command of written and spoken English, basic skills in German favorable LanguagesENGLISHLevelExcellent Additional
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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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Description Start date/duration as soon as possible for 4 years Job profile: Your tasks: Dissertation in the field of construction management, construction operations and tunnelling with a focus on BIM / TIM
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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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of your doctorate Table of contents of your written thesis Short description of the structure of the thesis (3-5 pages) Statement with key information (no length requirement - you have to convince