43 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at UNIVERSITY OF VIENNA in United Kingdom
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Ability to work in a team Knowledge of university processes and structures Expected: Empirical research focusing on German as a second language, language education, and language support in the context
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this sound like you? Then join our accomplished team! Your personal sphere of influence: The Ries lab is developing super-resolution microscopy methods for structural cell biology and is looking for a PhD
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the structures of the University of Vienna. What we offer: Work-life balance: Our employees enjoy flexible working hours and can partially work remotely. Inspiring working atmosphere: You are a part of an
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engineering, or a closely related field Strong background in soft matter physics or biophysics Experience with theoretical modeling, computer simulations and data analysis Programming skills in Python and/or C
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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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international conferences and workshops; Extensive teaching experience in the fields of human rights and international criminal law; Familiarity with university procedures and administrative structures
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areas of Computer Science Proven interest in scientific work and in scientific publishing Basic experience in research methods and academic writing Knowledge of university processes and structures
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and spoken German and English and excellent written and oral communication skills IT user skills Ability to work in a team Desirable qualifications are: Knowledge of university processes and structures
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Knowledge of university processes and structures preferable What we offer: Work-life balance: Our employees enjoy flexible, family-friendly working hours, remote/hybrid and/or part-time work (upon agreement
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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