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surfaces machine learning methods, and/or the development of novel solutions to the many-body Schrödinger equation. Applicants with proven experience in the development of new computational methods and their
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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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, 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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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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and determination? We are currently seeking a/an University Assitant (praedoc) - Completion Contract - DM & ML 39 Faculty of Computer Science Job vacancy starting: 01.11.2025 (MM-DD-YYYY) | Working
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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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: Excellent completed diploma or master's and bachelor's degree in mathematics or a related field before the contract starts. Experience in scientific writing and research methods (copy of the Master's thesis
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Chemistry. On the one hand, you will play a key role in the practical introduction of students to a broad spectrum of instrumental analytical methods and, on the other hand, will deal with the computer-aided
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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