36 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"NOVA.id" positions at UNIVERSITY OF VIENNA in United Kingdom
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interface of hardware and software for world-leading observatories, and collaborate with international teams of scientists and engineers – then welcome to the team! Our ground-based astronomical
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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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Grohsjean, who joined the University of Vienna as a Professor of Organization in January 2026, after more than 9 years in the Department of Management & Technology at Bocconi University in Milan, first as an
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theoretical chemistry, from the use of advanced electronic structure methods to the development of dynamical approaches to study photochemical reactions, also including machine learning. The group is part of
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shotgun lipidomics. Profound knowledge of lipid structures and fragmentation rules. Solid understanding of the relevant concepts in mass spectrometry-based lipidomics and/or metabolomics. Enthusiasm
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. The position provides a structured, supportive framework for developing scientific independence, with the clear objective of establishing an autonomous research direction by the end of the contract period. Full
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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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of university processes and structures What we offer: Work-life balance: Our employees enjoy felxible working hours, remote work (upon agreement). Inspiring working atmosphere: You are a part of an international
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working in research projects International experience Knowledge of university processes and structures What we offer Work-life balance: Our employees enjoy flexible working hours, remote/hybrid and/or part
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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