42 assistant-professor-computer-science-and-data-"U" Postdoctoral positions at UNIVERSITY OF VIENNA
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didactic skills High written and oral expression skills Computer user skills Excellent command of English Ability to work in a team We also expect: Teaching experience / experience with e-learning Experience
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. Ready to be part of our team? Let’s shape the future together! Your personal sphere of influence: As a University Assistant PostDoc you will be part of the research team of the professorship of Ancient
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tasks as needed. This is part of your personality: You aspire to an academic career as a university professor (in Austria or abroad) and see this position as a step toward obtaining the formal
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"Mathematical Data Science" research group at the University of Vienna (led by Prof. Dr. Philipp Grohs) and the "Computational Partial Differential Equations" research group at TU Wien (led by Prof. Dr. Michael
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. The vacant position as a university assistant (postdoc) serves to strengthen our teaching and research portfolio. We are looking for theologians, philosophers, religious scholars or educationalists with a
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faculty. You participate in research projects and studies. Candidate Profile: You might have a background in computational chemistry, theoretical condensed matter physics, computer science, or a similar
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expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application
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50 Faculty of Life Sciences Startdate: 01.08.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.07.2031 Reference no.: 4188 At the University
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of Vienna has a vacancy for a university assistant ("post doc"). The focus of the position is on public economic law and sustainability law; a sound knowledge of Austrian constitutional and administrative law
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knowledge of statistics (R) Experience with multiverse analysis and open science practices Experience in the measurement and evaluation of eye tracking data is desirable Experience with physiological data