132 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"U.S" positions at University of Vienna
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. Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment. Good public transport connections: Your workplace is easily accessible by public
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at the University of Vienna, where over 7,500 academic minds have found a unique blend of freedom and support. Join us if you're driven by a passion for top-notch international research and scientific excellence
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of microbial ecology and environmental systems science. The Centre's Department of Microbiology and Ecosystem Science assembles an international, ambitious and committed team and offers an interdisciplinary
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enrolled on the Doctoral Programme in Pharmacy at the University of Vienna. Recipients will be employed as university assistants predoctoral at the Department of Pharmaceutical Sciences. At the time of
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and determination? We are currently seeking a/an Senior Scientist 52 Faculty of Chemistry Job vacancy starting: 01.03.2026 | Working hours: 40,00 | Classification CBA: §48 VwGr. B1 lit. b (postdoc
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). • Morphological and imaging approaches (e.g., confocal microscopy, electron microscopy, histology, 3D reconstruction). • Comparative and computational evolutionary biology (phylogenomics, orthology inference
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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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research project in the field of machine learning in computational materials science. You will present your research plan to the faculty and complete a dissertation agreement within 12-18 months. This will
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experience in an international setting Science outreach experience Leadership experience Track record of working internationally in cross-cultural settings What we offer: Inspiring and dynamic working
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gravitational effects on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing