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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | about 14 hours ago
ECVS/ACVS residency • English fluently written and spoken • Dr. med. vet. or PhD desired criteria: • Experience teaching veterinary students • Research experience and interest • German language skills
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candidate is expected to present the findings at international conferences and publish the results in top international journals. Your Profile PhD in Materials Sciences, Physics or equivalent. Background in
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performances, theories of performativity Completed Austrian PhD or equivalent degree from a university outside of Austria Outstanding academic qualifications in the field (excellent track record of publication
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analysis with practically motivated case studies, offering a strong foundation for researchers interested in advancing the mathematical understanding of geometric deep learning. Your Qualifications PhD
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top international journals. Your Profile PhD in Materials Sciences, Physics or equivalent Prior experience with high-pressure torsion, mechanical testing, scanning electron microscopy, focused ion beam
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/PhD in a mathematical branch of study Solid knowledge of one of the following fields: mathematical methods, analysis and numerics in imaging, inverse problems or data sciences Ability to integrate
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Researcher Profile Recognised Researcher (R2) Positions PhD Positions Country Austria Application Deadline 21 Sep 2025 - 23:59 (Europe/Brussels) Type of Contract Other Type of Contract Extra Information Fixed
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interactions help facilitate active scientific exchange and foster a good atmosphere, and therefore play a big role in our team. Learn more about us here: https://swa.cs.univie.ac.at/ Your future tasks: You
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ID: 3685 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate about groundbreaking
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foundations of deep learning, functional analysis and measure theory. You can find more information about our research area and our team on the website: http://www.olgamula.com. As a team, we understand the