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Hours Per Week 30 Offer Starting Date 1 Apr 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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] Subject Areas: Astronomy, Biology, Computer Science, Chemistry & Materials, Data Science & Scientific Computing, Earth Science, Mathematics, Neuroscience, and Physics Appl Deadline: 2026/01/08 11:59PM
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talented predoctoral researchers. The focus of our research is in the field of Data/Computational Science in Astrophysics & Cosmology. You can find more information about our research area and our team
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Anthropology at the Faculty of Life Sciences seeks to appoint a pre-doctoral researcher with expertise in archaeology/archaeological science and to work with Associate Professor Katerina Douka (https
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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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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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The Institute of Science and Technology Austria - ISTA is looking for highly qualified candidates with Bachelor’s or Master’s degrees to apply for the PhD program. We offer fully-funded PhD
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The Institute of Science and Technology Austria - ISTA is looking for highly qualified candidates with Bachelor’s or Master’s degrees to apply for the PhD program. We offer fully-funded PhD
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As Austria's largest research and technology organisation for applied research, we are dedicated to make substantial contribution to solving the major challenges of our time, climate change and digitalisation. To achieve our goals, we rely on our specific research, development and technology...
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(DoSChem) – Austria’s largest doctoral training program in chemistry. DoSChem brings together more than 200 doctoral students and over 50 PIs, fostering interdisciplinary and curiosity-driven research