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programme/having passed the FÖP Via our job portal/ Apply now - button If you have any questions, please contact: Oliver Fabel oliver.fabel@univie.ac.at We look forward to new personalities in our team
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and determination? We are currently seeking a/an University assistant predoctoral at the RG Neuroinformatics (NI) 39 Faculty of Computer Science Job vacancy starting: 01.06.2025 | Working hours: 30,00
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Bachelor's and Master's teaching, as well as in the teacher training program for Geography and Economic education. The working time of 30 hours/week includes teaching duties of, on average, 13 semester hours
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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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research orientation. You have obtained didactic competence. Ideally, you have experience in research-oriented university teaching. Excellent computer literacy Excellent command of written and spoken English
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. As a Senior Lecturer, you will be involved in both Bachelor's and Master's teaching, as well as in the teacher training program for geography and economic education. The working time of 20 hours/week
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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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website https://vds-ecology-evolution.univie.ac.at/phd-programme/vdsee-completion-grants/ to apply and to find detailed information on requirements and application documents. Applications must be submitted
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An der Universität Wien arbeiten über 10.000 Persönlichkeiten gemeinsam an den großen Fragen der Zukunft. Davon sind rund 7.500 wissenschaftliche Mitarbeiter*innen. Persönlichkeiten, die mit ihrer Neugier und ihrem Streben nach Exzellenz zu internationaler Spitzenforschung und Lehre beitragen....
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: PhD degree in analytical, biological, food, or computational chemistry, biotechnology or related field Experience in mass spectrometry (especially GC-MS) and programming (e.g. R), statistical knowledge