359 structural-engineering "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs in Austria
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- mdw - University of Music and Performing Arts Vienna
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well as institutional and structural factors that shape educational paths. Our research is multi-perspective and interdisciplinary. It combines pedagogical, psychological and sociological approaches and examines
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well as institutional and structural factors that shape educational paths. Our research is multi-perspective and interdisciplinary. It combines pedagogical, psychological and sociological approaches and examines
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for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing and quantum cybersecurity applications? Can
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large initiative that aims to tackle this ambitious challenge by developing and applying new software tools that combine machine learning methodology, electronic structure theory, and molecular dynamics
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experience. Excellent written and spoken English and German, minimum level C1. Team player with a hands-on working approach. Strategic and analytical mindset. Ability to structure tasks and set priorities
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As Austria's largest research and technology organisation for applied research, we have set ourselves the goal of making substantial contributions to solving the major challenges of our time
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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
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research projects Experience with international cooperations and networks Desirable qualifications are: Knowledge of university processes and structures Experience of supervising students What we offer: Work
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that aims to tackle this ambitious challenge by developing and applying new software tools that combine machine learning methodology, electronic structure theory, and molecular dynamics methodology