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individual research groups. A dedicated computational materials scientist is therefore essential to enable cutting-edge collaborative research across campus and to bridge the gap between experimental
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programme "Philosophy and Economics" (within the scope of the provisions of the collective bargaining agreement). participate in examination activities, evaluation measures and in quality assurance. take on
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Data Stewardship program. The Faculty of Earth Sciences, Geography and Astronomy (Fakultät für Geowissenschaften, Geographie und Astronomie / FGGA) is therefore looking for a highly motivated person (m/f
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, interdisciplinarity and philosophy of engineering. Your duties will include active participation in research, teaching and administration at the Department of Philosophy in the research area of computational philosophy
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organise scientific events. You prepare and complete a publication-ready habilitation. You hold courses independently in the Bachelor programme „Languages and Cultures of South Asia and Tibet” and the Master
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. To strengthen our team in Vienna, we are looking for a: Your qualifications as an Ingenious Partner: Completed technical studies (Master’s degree or equivalent) in computer science, data science, software
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landslide risk model incorporating urban layers 4. Task Assignment (summary to be attached to the cover letter) - Use an open-access DEM to compute the slope and aspect distribution of Aso Caldera, Japan
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programme of high-quality empirical research commensurate with the level needed for a PhD qualification, which advances the field of Environmental Psychology • Publish (or submit for publication) at least
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tasks: The post has two components, a research component and a teaching component. In terms of research, you will be expected to: • Develop and implement a coherent and original programme of high
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to the department Ph.D. program and will work on the development and analysis of statistical methods for machine learning, particularly in the context of high-dimensional models and with a particular focus on methods