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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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: Master degree in technical fields; Excellent fluency in English (both verbally and in written), fluency in German is an advantage; good computer literacy and skills; strong communication (both oral and
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, please sketch a doctoral research program This is part of your personality: • Ability to work under pressure • Problem solving skills • Excellent communication skills • Ability to work in a
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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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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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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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Law or a related subject that allows registration in a Law Faculty doctoral programme at the University of Vienna, for example in the doctoral programme Interdisciplinary Legal Studies. • Desired
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accordance with the collective agreement Student supervision Participation in evaluation measures and quality assurance Participation in departmental administration and program development Your profile
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of laboratory courses in the Bachelor's programme in Teaching Education (Physics) and independent teaching in the core experimental physics course "Introduction to Experimental Work (EEA)" in the Bachelor's
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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 (MM-DD-YYYY) | Working hours: 30.00