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(prae doc), for a period of 4 years, focusing on process mining. The selected prae doc will become part of the Research Group Workflow Systems and Technology (WST) at the Faculty of Computer Science and
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and Advanced Computing Austria (ACA) — you will leverage state-of-the-art infrastructure, interdisciplinary know-how, and national networks. Your results will enhance the AI Factory’s Austria capability
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contribution to the economy and society. The Competence Unit Digital Resilient Cities , part of the Center for Energysupports cities and their stakeholders in the cross-sectoral transformation process, combining
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-resolution (scanning) transmission electron microscopy, single-atom spectroscopy, and computational physics. Job description: We are looking for a motivated and talented individual to join the group as a short
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and critical way of thinking and thus lay a solid foundation for future professional challenges. Your workplace: As a Senior Lecturer, you will be employed in the field of computer-aided and digital
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to documenting data as a process to cater to the diversity of inter- and cross-disciplinary data needs. The successful candidate for this position will be employed by the University of Vienna and their research
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research group Computational Materials Physics. PhD students in the group acquire important transferable skills such as software development and project management. You will present your research
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. The position fits into the strategic priorities of the University of Vienna, ‘Global health: physical, mental and social dimensions of health’, ‘Systems of life – foundations of life’ and ‘Digital and data
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information and to submit your application, see: https://visess.univie.ac.at/phd-programme/funding-possibilities/visess-completion-grants/ . Your future tasks: You actively participate in research, teaching
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research group Computational Materials Physics. PhD students in the group acquire important transferable skills such as software development and project management. You will present your research