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(https://oskar-morgenstern-doctoral-school.univie.ac.at/), providing them with additional funding for research, and the possibility to learn from and with students from adjacent disciplines. Outside
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the application of these methods to problems in the physics of oxides, semiconductors, metals and their surfaces. Machine learning methods are used to close the complexity gap. Currently, the group consists
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| Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.03.2030 Reference no.: 5335 Among the many good reasons to want to research and teach
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skills, including proficiency in statistics, scientific programming, and/or modelling. We especially welcome candidates interested in applying AI and machine learning to analyse heritage datasets
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statistics, scientific programming, and/or modelling. We especially welcome candidates interested in applying AI and machine learning to analyse heritage datasets. What we offer: • A stimulating
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the contract. We are looking for graduates from: Renowned management programs: e.g., M.Sc. in Business or Adjacent disciplines such as economics, psychology, engineering, or computer sciences: e.g., M.Sc. in
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and machine learning. Internal further training & coaching: The Vienna Doctoral School as well as the Department of Human Resources offer plenty of opportunities to grow your skills in over 600 courses
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morphometrics. Desirable but not strictly required are knowledge and application of Amira and/or Drishti software packages for reconstructing CT data. Basic knowledge about machine learning is of advantage. Very
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no.: 5115 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate about groundbreaking international
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information, quantum technologies and machine learning. Internal further training & coaching: The Vienna Doctoral School as well as the Department of Human Resources offer plenty of opportunities to grow your