138 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "J" positions at University of Vienna
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for a prospective doctoral project proposal (max. X p.) With a confirmation of enrolment in the doctoral programme/having passed the FÖP Via our job portal/ Apply now - button If you have any questions
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: 1988 On behalf of the Rectorate, the Culture and Equality unit offers three fixed-term positions (6 months each) for female postdoctoral researchers as part of a program for the advancement of women
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reports, and the ECTS transcript of your doctoral programme. With a letter of support from your supervisor, providing an candid assessment of your dissertation's status and an accurate timeframe for its
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conferences and journals is a plus. You are an experienced programmer, preferably using the Python programming language. You are a team player with excellent social/communication skills. You have experience
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teach seminars supporting students with their Bachelor’s thesis as well as various (including research-led) seminars within the Master’s programme (e.g. seminars supporting students to develop a thesis
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within the Master’s programme (e.g. seminars supporting students to develop a thesis proposal). You will take on administrative tasks, particularly in the administration of teaching. We expect you to keep
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and determination? We are currently seeking a/an University assistant predoctoral - researchgroup DM & ML 39 Faculty of Computer Science Job vacancy starting: 01.02.2026 | Working hours: 30,00
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Data Stewardship program. The Faculty of Earth Sciences, Geography and Astronomy (Fakultät für Geowissenschaften, Geographie und Astronomie / FGGA) is therefore looking for a highly motivated person (m/f
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systems, business administration and/or economics, computer science or a related field. Experience performing and publishing academic research at peer-reviewed conferences and journals is a plus. You are an
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to the department Ph.D. program and will work on the development and analysis of statistical methods for machine learning, particularly in the context of high-dimensional models and with a particular focus on methods