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of Computer Science at the University of Vienna invites applications for a Tenure-Track Professorship in Human Computer Interaction The position Human Computer Interaction (HCI) explores the design, evaluation, and
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reconstitute complex biological systems across different scales. Candidates should have a proven track record in biology, biophysics, or computational science. Your research proposal should be original and
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of Historical and Cultural Studies (https://dshcs.univie.ac.at/en). The Master’s program in Digital Humanities provides an institutional platform for cooperation between the Faculty of Historical and Cultural
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computing facilities. The faculty runs the Vienna International School of Earth and Space Science (VISESS), a well-recognized doctoral school providing a platform for interdisciplinary research, transferable
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disciplines with faculties at the University of Vienna, including the Faculty of Computer Science, which is closely related to interactive communication. https://publizistik.univie.ac.at/en/research/ Your
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Healthy Lifespan,” “Computational Life Sciences,” and “Innovation in Drug Research.” The tenure-track professorship will be located at the intersection of these areas and will contribute bioinformatic
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are enrolled in Bachelor's, Master's and PhD programmes, attending nearly 200 courses per semester, which are taught and supervised by 220 teachers. As a university assistant Post Doc you will join the
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to the Collective Bargaining Agreement amounts to EUR 3.714,80; In the case of a normal weekly working time of less than 40 hours the salary shall be prorated.) and will be enrolled in the department's PhD program in
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Limited contract until: Job ID: 4344 The University of Vienna plans to expand the existing Research Data Management services by offering discipline-specific support through a new Data Stewardship program
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apply: Letter of Motivation (Academic) Curriculum vitae Final Degree certificates (Certificate of completed diploma or master's degree programme) List of publications (if available) evidence of teaching