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Sciences focuses on developing computer-based approaches, particularly chemoinformatics, molecular modeling and machine learning methods, to predict the biological, medical and toxicological properties
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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
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The University of Vienna is a cosmopolitan hub for more than 10,000 employees, of whom around 7,500 work in research and teaching. They want to do research and teach at a place that suits their
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The Computational Drug Discovery and Design Group (COMP3D, https://comp3d.univie.ac.at/) at the Faculty of Life Sciences focuses on developing computer-based methods, particularly those involving machine learning and
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, the encoded motion data is built using dynamic motion primitives. A Machine-Learning approach is trained that takes into account both the encoding motion data and the image data to adapt learned skills
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machine learning algorithm using diffusion models for the trajectory planning task of a manipulator (KUKA iiwa 14 LBR 820) and/or a timber crane considering the surrounding environments such as structures
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, Synthetic Data for Machine Learning in Privacy Research, Formalization of Security Risk Management, and Security and Privacy of Blockchain Technologies. In the long term, we are concerned with understanding
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, limited to 4 years at the Research Group Data Mining and Machine Learning at the Faculty of Computer Science under the supervision of Univ.-Prof. Dipl.-Inform.Univ. Dr. Claudia Plant The Faculty
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data analytics, data fusion, machine learning and the design of complex algorithms is an advantage Special interest in applied research and solving practical problems Ability to work in a team
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: data analytics, machine learning, design of complex algorithms, environment modeling, system design Interest in project management of international research- and development projects in the civil and