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"Urban Development & Mobility Transformation" focuses on researching and applying innovative tools and methods for sustainable urban development and the integrated planning of mobility systems. For our
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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
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and determination? We are currently seeking a/an Technician / Data Manager 39 Faculty of Computer Science Job vacancy starting: 01.09.2025 (MM-DD-YYYY) | Working hours: 30,00 | Classification CBA
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, hydrology, environmental science, or a related field. Experience or strong interest in experimental and numerical geophysical methods and quantitative data analysis is especially welcome. The successful
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interested in behavioral aspects pertaining to organizational design decisions relevant to firms operating in (technologically) innovative environments. We are agnostic to methods and pursue formally
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: • Merging computer science and qualitative and quantitative social science methods, you explore the conceptual data models that underpin different infrastructures and how this affects data discovery, use and
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and determination? We are currently seeking a/an University assistant predoctoral 39 Faculty of Computer Science Job vacancy starting: 01.08.2025 | Working hours: 30.00 | Classification CBA: §48
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the German-speaking world and is home of several third-party funded research projects. Through cooperation with numerous academic institutions worldwide, the Department is very well connected with
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the development of novel computational materials discovery and molecular simulation methods. You take a key role in the research and management of the Computational Materials Discovery group. You supervise and
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of Porous Materials lead by Professor Freddy Kleitz at the University of Vienna mainly focusses on the development of nanoporous materials, their characterization, and their applications in numerous fields