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studies. The successful applicant will get a contract as university assistant (prae doc) and will be working in the research group “Data Mining and Machine Learning” at the Faculty of Computer Science. Your
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of these methods to problems in the physics of oxides, semiconductors and their surfaces. Machine learning methods will be used to close the complexity gap. Applicants will have outstanding achievements or show
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need expert knowledge in bioinformatic data analysis. Strong expertise in multi-omics data analysis (using R and Python) and a deep understanding of machine-learning models are must-criteria
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Materials Discovery group is looking for a postdoctoral researcher working in the field of machine learning of electronic structure and computational materials discovery. In this role you will be performing
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hitherto struggled with tackling such challenging systems. With the emergence of machine learning methods in the physical sciences, things are rapidly changing. This project is part of a large initiative
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struggled with tackling such challenging systems. With the emergence of machine learning methods in the physical sciences, things are rapidly changing. This project is part of a large initiative that aims
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) Limited contract until: 31.12.2029 Job ID: 4269 Among the many good reasons to want to research and teach at the University of Vienna, there is one in particular, which has convinced around 7,500 academic
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| Classification CBA: §48 VwGr. B1 Grundstufe (praedoc) Limited contract until: 28.02.2026 Job ID: 4178 Among the many good reasons to want to research and teach at the University of Vienna, there is one in
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Postdoc Position at the Research Group Data Mining and Machine Learning at the Faculty of Computer Science, University of Vienna under the supervision of Prof. Claudia Plant. The Faculty of Computer Science
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analysis of classical problems in numerical analysis in the framework of modern algorithms of machine learning. Our ideal candidate will have prior exposure to modern developments in theoretical machine