88 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Multiple" uni jobs at Nature Careers in Austria
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), with a strong publication record in shotgun lipidomics. Profound knowledge of lipid structures and fragmentation rules. Solid understanding of the relevant concepts in mass spectrometry-based lipidomics
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, ensuring a continuous linkage between basic research, application-oriented development, scalable manufacturing approaches, technology transfer, and societal impact. With a focus on sustainable organic and
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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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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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the administration of the institute, teaching and research Requirements: Completed Master's degree (or comparable degree) in computer science, mathematics, electrical engineering, information processing or a related
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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 we
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written and 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
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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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. 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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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