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statistic methods and computer programs for analysis of quantitative or qualitative data (e. g. SPSS, R, AMOS, MAXQDA) and profound knowledge of computerized literature search Didactic competence Excellent
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German, good computer skills (knowledge of a programming language would be advantageous). Additional Information Benefits What we offer: Extent of Employment: 30hours/week. Job grading in accordance with
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course per semester), participation in the administration of the department. This is part of your personality: Above-average MA in art history, excellent English and or German, good computer skills
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and determination? We are currently seeking a/an University assistant predoctoral - PhD Position in Graph Learning 39 Faculty of Computer Science Job vacancy starting: 01.05.2026 | Working hours
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for a/an University assistant predoctoral - PhD Position in Graph Learning 39 Faculty of Computer Science Startdate: 01.05.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1
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of three full professors, one associate professor, 6 postdocs and about 15 PhD and 7 master students. Computing time is available on our local cluster and on the Austrian Scientific Cluster, a supercomputer
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physics or chemical physics (mandatory) Good didactic skills (mandatory) High written and oral expression skills (mandatory) Computer user skills (mandatory) Excellent command of English (mandatory) Ability
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their passion and determination? We are currently seeking a/an University assistant predoctoral - PhD Position in Graph Learning 39 Faculty of Computer Science Startdate: 01.05.2026 | Working hours: 30
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administration Required qualifications Doctoral degree (PhD or equivalent) in the field of Sport Science, Human Movement Science or Computer Science with a focus on Computer Science in Sport or Sports Analytics
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of three full professors, one associate professor, 6 postdocs and about 15 PhD and 7 master students. Computing time is available on our local cluster and on the Austrian Scientific Cluster, a supercomputer