16 programming-"the"-"DAAD"-"U"-"IMPRS-ML"-"FEMTO-ST"-"FEMTO-ST" "Dr" positions at University of Vienna
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PhD Positions Country Austria Application Deadline 28 Oct 2025 - 23:59 (Europe/Vienna) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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/having passed the FÖP. Via our job portal / Apply now – button. If you have any questions, please contact: Ass.-Prof. Dr. Stefan Schulreich stefan.schulreich@univie.ac.at We look forward to new
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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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projects, programming languages, lab techniques, transferable skills etc.) Via our job portal/ Apply now - button end of this page. If you have any questions, please contact: Dr. Katja Hellekes
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help us better understand our world. Does this sound like you? Then join our accomplished team! Your personal sphere of influence: The research group of Prof. Dr. Ina Bergheim, Molecular Nutritional
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Faculty of Law Job vacancy starting: 01.10.2025 | Working hours: 30,00 | Classification CBA: §48 VwGr. B1 Grundstufe (praedoc) Limited contract until: 30.09.2028 Job ID: 4552 At the chair of Prof. Dr
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was established in 2005 and is part of the Faculty of Social Sciences. The department team is responsible for the Master's programme in Nursing Science and the doctoral programme in Nursing Science as one
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, probability theory, statistics and mathematical finance and an open mind for applications. Excellent command of written and spoken English. Programming skills (e.g. Python, R). Ability to work in teams and high
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related fields Basic knowledge of programming (preferably Python; R or MATLAB also accepted with willingness to switch) Experience in quantitative data analysis Interest and/or experience in landslide