47 structures-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"CEA-Saclay" 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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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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. 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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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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. 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
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research methodology and present research findings in a structured way Ability to work independently and as part of a team Flexibility, willingness to learn and travel Excellent command of written and spoken
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this ambitious challenge by developing and applying new software tools that combine machine learning methodology, electronic structure theory, and molecular dynamics methodology to simulate ultrafast chemical
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spoken English IT user skills Desireable knowledge is: Teaching experience / experience of working with e-learning Knowledge of university processes and structures Experience abroad Basic experience in
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and structural factors that shape educational paths. Our research is multi-perspective and interdisciplinary. It combines pedagogical, psychological and sociological approaches and examines education in
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this ambitious challenge by developing and applying new software tools that combine machine learning methodology, electronic structure theory, and molecular dynamics methodology to simulate ultrafast chemical