Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
command of English, both spoken and written Knowledge of German (if not the native language), or the willingness to acquire German Ability to work in a team, strong organizational skills, reliability, and
-
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
-
geological field-based methods and big data applications and machine learning methods. Research focus will be on feedback processes between erosion, sedimentation, tectonics and climate, and topics could
-
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
-
interest in Applied Mathematics, possesses solid and profound background knowledge in Numerical Analysis, Approximation Theory and Machine Learning, can easily integrate into our team, independently
-
work on optimization and optimal control related to partial differential equations with emphasis on new developments related to machine learning and data science. Your profile: • Doctorate related
-
this sound like you? Then join our accomplished team! About the team: The research group Neuroinformatics develops machine learning methods to study the relation of neural activity and cognitive processes, and
-
| 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
-
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
-
-supported methods for creating laboratory reports as a key component of learning scientific writing. Implementing computer-based experimental techniques. Training student assistants and tutors. Keeping up