53 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"NOVA.id" positions at UNIVERSITY OF VIENNA
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metadata Implementation of data management plans and FAIR data principles Development and maintenance of standardized data structures for raw MS data, metadata, processed datasets, and result files Design
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phase analysis, and X-ray structure determination, with an extent of teaching as required by the universities' collective bargaining agreement. Willingness to collaborate across departments, faculties
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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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gravitational effects on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing
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(or comparable degree) in computer science, mathematics, electrical engineering, information processing or a related field High analytical skills Experience in the field of interdisciplinary research High level of
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, teaching and research Requirements: Completed Master's degree (or comparable degree) in computer science, mathematics, electrical engineering, information processing or a related field High analytical skills
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, the organization and execution of a lecture series in the summer semester of 2026, as well as the planning of workshops and public events, and the development of participatory structures for local and regional
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. Team player with a hands-on working approach. Strategic and analytical mindset. Ability to structure tasks and set priorities. Desirable skills and experiences Familiarity with academic research
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Experience in participating in research projects Didactic skills / experience in e-learning IT skills Knowledge of university processes and structures is desirable Excellent knowledge of English (C1) GFL
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. Experience with, or a solid understanding of, the organizational, teaching, and administrative structures of the University of Vienna or comparable research-intensive universities. What we offer: Work-life