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by science and its rapid progress? Are you intrigued by ever-improving microscopes and the images they provide? Are you passionate about interdisciplinary research? Do you want to contribute your
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Join the Responsible Machine Learning (ML) Group at the Faculty of Computer Science. Led by Prof. Dr. Martin Pawelczyk, who recently joined the University of Vienna from Harvard University, our research
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development of ICON model as needed for your work Disseminate your research through high-quality peer-reviewed publications and presentations at conferences Teach independently within the scope
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with community members throughout the research process; carry out qualitative empirical research (e.g. interviews, ethnographic fieldwork, document analysis); analyse empirical material using qualitative
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chemistry. Working with us means learning something new every day. You will be affiliated with the research project, with the working title Q4-BIO, where we open a new field of research around quantum tools
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chemistry. Working with us means learning something new every day. You will be affiliated with the research project V-QUTE, where we will push the limits of matter-wave interferometry with nanoparticles
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| Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 30.09.2029 Reference no.: 6194 Explore and teach at the University of Vienna, where more than 7,500 academics thrive